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30:["$","th",null,{"className":"px-6 py-4 text-left text-sm font-semibold text-gray-800 uppercase tracking-wider border-r border-gray-200 last:border-r-0","children":"Current baseline"}]
31:["$","th",null,{"className":"px-6 py-4 text-left text-sm font-semibold text-gray-800 uppercase tracking-wider border-r border-gray-200 last:border-r-0","children":"The question worth asking"}]
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33:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"This is not a specification table. It is a testable product thesis for each provider."}]
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35:["$","div",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":["Anthropic's public catalog lists ",["$","strong",null,{"className":"font-bold text-gray-900","children":"Fable 5"}],", not Fable 5.1. OpenAI's public material names ",["$","strong",null,{"className":"font-bold text-gray-900","children":"Astra"}],", but does not identify it as GPT-6. Provider documents establish the current baselines; community posts establish only that people want a future comparison. Neither source class supports future prices, specifications, benchmarks, or a winner."]}]
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37:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"The useful comparison is whether a verified future route completes more production work within cost, latency, policy, and operational limits. Parameter-count rumors, context-window predictions, or a provider demo cannot answer that question."}]
38:["$","h2",null,{"id":"what-fable-51-must-improve-to-justify-a-future-choice","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"What Fable 5.1 Must Improve to Justify a Future Choice"}]
39:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Anthropic already describes Claude Fable 5 as its highest-capability widely released model, aimed at demanding reasoning and long-running agents. A worthwhile 5.1 release should therefore do more than add a few benchmark points."}]
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3b:["$","div",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":["Fable 5 currently occupies a premium role. The most valuable improvement would be a lower ",["$","strong",null,{"className":"font-bold text-gray-900","children":"cost per accepted task"}],", whether that comes from fewer retries, shorter traces, better tool decisions, faster completion, or a different commercial profile. A cheaper token price would help, but it would not be enough if review and repair costs remained high."]}]
3c:["$","h3",null,{"id":"2-more-durable-long-running-agents","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"2. More durable long-running agents"}]
3d:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Long tasks fail differently from chat prompts. They lose state, repeat tools, recover poorly, or produce an impressive partial result that cannot be accepted. We should expect measurable gains in whole-trace completion, recovery after tool failure, and consistency across repeated runs—not only stronger single-turn answers."}]
3e:["$","h3",null,{"id":"3-a-clearer-operating-contract","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"3. A clearer operating contract"}]
3f:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Teams need unambiguous answers about retention, regional processing, rate limits, snapshots, caching, tool behavior, and fallback behavior. If a future Fable revision reduces operational ambiguity, that may matter more than a small reasoning gain for regulated or high-volume applications."}]
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41:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"A strong 5.1 launch should make migration observable: what changed, which prompts or tools behave differently, which defaults moved, and when teams should retain Fable 5 as a fallback. The expectation is not perfect backward compatibility; it is enough documentation and version control to migrate deliberately."}]
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43:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"OpenAI's current developer platform already spans conversation state, tools, background work, multi-agent orchestration, evals, and multiple model tiers. A meaningful GPT-6 would make those pieces work together more reliably rather than merely raising a general intelligence score."}]
44:["$","h3",null,{"id":"1-better-continuity-across-long-work","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"1. Better continuity across long work"}]
45:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"The important leap would be durable task state: fewer resets, less repeated context, and clearer recovery when a multi-step workflow is interrupted. This should be judged in developer-controlled traces, not inferred from a smoother chat experience."}]
46:["$","h3",null,{"id":"2-stronger-coordination-between-reasoning-and-tools","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"2. Stronger coordination between reasoning and tools"}]
47:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Builders need a model that knows when to reason, when to call a tool, when to ask for clarification, and when to stop. A worthwhile next generation should reduce unnecessary calls and loops while improving successful completion across coding, research, browser, and business workflows."}]
48:["$","h3",null,{"id":"3-a-useful-quality-cost-ladder","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"3. A useful quality-cost ladder"}]
49:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"OpenAI's current tiered approach lets teams match different workloads to different quality and cost roles. We should hope a future generation preserves that routing flexibility instead of forcing every task onto the most expensive route. The practical win is not one universal flagship; it is a family that makes escalation predictable."}]
4a:["$","h3",null,{"id":"4-more-control-without-more-integration-burden","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"4. More control without more integration burden"}]
4b:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"New reasoning modes, memory, or agent controls only help when developers can understand and control their behavior. GPT-6 should be easier to test and integrate through APIs—not just more impressive in a product demo."}]
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4d:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"The providers may pursue different product ideas, but builders will still judge both models by what happens in real work."}]
4e:["$","div",null,{"className":"mb-6 w-full max-w-full overflow-x-auto rounded-lg border border-gray-200","children":["$","table",null,{"className":"min-w-[640px] w-full divide-y divide-gray-300 border-0","children":[["$","thead",null,{"className":"bg-gray-100 border-b-2 border-gray-300","children":["$","tr",null,{"className":"hover:bg-gray-50 transition-colors","children":[["$","th",null,{"className":"px-6 py-4 text-left text-sm font-semibold text-gray-800 uppercase tracking-wider border-r border-gray-200 last:border-r-0","children":"What builders need"}],["$","th",null,{"className":"px-6 py-4 text-left text-sm font-semibold text-gray-800 uppercase tracking-wider border-r border-gray-200 last:border-r-0","children":"What to look for in Fable 5.1"}],["$","th",null,{"className":"px-6 py-4 text-left text-sm font-semibold text-gray-800 uppercase tracking-wider border-r border-gray-200 last:border-r-0","children":"What to look for in GPT-6"}],["$","th",null,{"className":"px-6 py-4 text-left text-sm font-semibold text-gray-800 uppercase tracking-wider border-r border-gray-200 last:border-r-0","children":"Evidence that counts"}]]}]}],["$","tbody",null,{"className":"bg-white divide-y divide-gray-200","children":[["$","tr",null,{"className":"hover:bg-gray-50 transition-colors","children":[["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Better completed work"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Higher whole-trace reliability on demanding tasks"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Better coordination across state, reasoning, and tools"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Repeated real-world tasks with clear success criteria"}]]}],["$","tr",null,{"className":"hover:bg-gray-50 transition-colors","children":[["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Cost that stays manageable"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Fewer retries and less unnecessary premium usage"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Clear choices across quality and price levels"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Total cost per completed task, not token price alone"}]]}],["$","tr",null,{"className":"hover:bg-gray-50 transition-colors","children":[["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Reliable everyday use"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Clear data, versioning, limits, and fallback rules"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Agent state and recovery that developers can inspect"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Official documentation plus real API tests"}]]}],["$","tr",null,{"className":"hover:bg-gray-50 transition-colors","children":[["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"An upgrade worth making"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"A measurable improvement over Fable 5"}],["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"A measurable improvement over the right GPT-5.6 tier"}],"$L79"]}]]}]]}]}]
4f:["$","div",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":["$","$L7a",null,{"src":"/blog/claude-fable-5-1-vs-gpt-6/cross-provider-evaluation-matrix.webp","alt":"A matched cross-provider evaluation harness sending identical tasks through cyan and amber lanes for tools, context, reliability, cost, and latency checks"}]}]
50:["$","div",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":["The shared scorecard matters because provider narratives will differ. One may emphasize frontier intelligence; the other may emphasize an integrated agent platform. Production teams still need to ask the same question: ",["$","strong",null,{"className":"font-bold text-gray-900","children":"did more real tasks finish correctly, within the required cost, latency, and policy boundaries?"}]]}]
51:["$","h2",null,{"id":"the-compatibility-surface-and-migration-risks","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"The Compatibility Surface and Migration Risks"}]
52:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Beyond quality, capture request fields, tool schemas, streaming events, returned model identity, usage, context handling, safeguards, data terms, rate limits, fallback behavior, and billing. A future route can be stronger and still be the wrong migration if it breaks a required control or makes rollback opaque."}]
53:["$","h2",null,{"id":"what-would-not-count-as-meaningful-progress","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"What Would Not Count as Meaningful Progress"}]
54:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Some launch-day improvements sound exciting but should not trigger a migration by themselves:"}]
55:["$","ul",null,{"className":"list-disc pl-6 mb-6 space-y-2 text-gray-700","children":["\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"a higher vendor benchmark without the prompts, tools, effort setting, and repeated-run variance;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"a larger context window that does not improve retrieval or long-trace completion;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"a lower token price paired with more retries, review, or tool calls;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"a polished chat demo without a documented API contract;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"a new reasoning control whose latency and cost behavior cannot be observed;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"a provider-specific feature that requires rewriting the application with no tested fallback."}],"\n"]}]
56:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"The next model should earn traffic by completing more real work—not simply by carrying a bigger version number."}]
57:["$","h2",null,{"id":"when-to-keep-using-current-models","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"When to Keep Using Current Models"}]
58:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Keep current models when they already meet the product bar, when neither future route is callable, when data or regional terms are unresolved, or when the apparent improvement does not survive accepted-task cost and p95 latency gates. A split-routing policy may remain better than a full migration."}]
59:["$","h2",null,{"id":"a-safe-evaluation-plan","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"A Safe Evaluation Plan"}]
5a:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Instead of waiting for two unannounced names, use the current generation to establish a baseline that future models will need to beat."}]
5b:["$","ol",null,{"className":"list-decimal pl-6 mb-6 space-y-2 text-gray-700","children":["\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["Choose current baselines: measure ","$L7b"," and the appropriate ","$L7c"," tier on the same real tasks."]}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"Separate workloads: keep routine extraction, classification, coding, research, and long-running agents in distinct evaluation sets."}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"Decide what “better” means now: track task success, first-pass quality, tool reliability, p95 latency, and cost per completed task."}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"Keep routing configurable: put model choice, parameters, timeout, retries, and fallback behind policy instead of scattering provider IDs through application code."}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["Track facts separately: use the ","$L7d"," and ","$L7e"," for official status changes."]}],"\n"]}]
5c:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Through EvoLink's unified gateway, this preparation keeps the future decision reversible. A newly verified model can enter as an evaluation route, receive a small workload-specific canary, and lose traffic without requiring an architecture rewrite."}]
5d:["$","$L7f",null,{"url":"/claude-fable-5-1","text":"Track Claude Fable 5.1 on EvoLink"}]
5e:["$","$L7f",null,{"url":"/gpt-6","text":"Track GPT-6 on EvoLink","variant":"secondary"}]
5f:["$","h2",null,{"id":"what-to-compare-after-launch","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"What to Compare After Launch"}]
60:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Once both models are officially released and callable through APIs, compare them on the questions that affect an actual model choice:"}]
61:["$","ol",null,{"className":"list-decimal pl-6 mb-6 space-y-2 text-gray-700","children":["\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"which tasks and use cases each model is designed for;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"whether API access is open and which capabilities it supports;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"the published context, output limits, pricing, and access conditions;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"whether an EvoLink route is available with clear pricing and usage information;"}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"how both models compare on quality, speed, reliability, and total cost across the same real tasks."}],"\n"]}]
62:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Until that information is public, there is not enough evidence to rank either model."}]
63:["$","h2",null,{"id":"faq","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"FAQ"}]
64:["$","h3",null,{"id":"have-claude-fable-51-and-gpt-6-been-announced","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"Have Claude Fable 5.1 and GPT-6 been announced?"}]
65:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"No official Claude Fable 5.1 or GPT-6 product was identified in the provider sources reviewed on August 12, 2026. OpenAI has named Astra as its next major model, but that is not confirmation of a GPT-6 product."}]
66:["$","h3",null,{"id":"is-claude-fable-related-to-openai-astra","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"Is Claude Fable related to OpenAI Astra?"}]
67:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"No. Claude Fable is an Anthropic family name, while Astra is OpenAI's internal next-major-model name. This article compares possible future production choices across providers; it does not claim a technical, corporate, or product relationship."}]
68:["$","h3",null,{"id":"can-fable-51-and-gpt-6-be-compared-today","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"Can Fable 5.1 and GPT-6 be compared today?"}]
69:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Not on performance, price, or production reliability. Neither model has enough verified information or a callable API route for a fair test."}]
6a:["$","h3",null,{"id":"what-should-we-expect-from-claude-fable-51","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"What should we expect from Claude Fable 5.1?"}]
6b:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"The most useful improvements would be lower cost per completed task, more durable long-running agents, clearer operating terms, and an easier upgrade path. None of these has been confirmed as a Fable 5.1 feature."}]
6c:["$","h3",null,{"id":"what-should-we-expect-from-gpt-6","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"What should we expect from GPT-6?"}]
6d:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Look for stronger task continuity, better reasoning-and-tool coordination, a useful quality-cost ladder, and controls that remain observable through the API. None of these are confirmed GPT-6 specifications."}]
6e:["$","h3",null,{"id":"which-current-models-should-teams-test","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"Which current models should teams test?"}]
6f:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Claude Fable 5 is the current Fable baseline. GPT-5.6 offers current OpenAI tiers for different quality, latency, and cost roles. Test the tier that matches each workload instead of comparing only the two most expensive routes."}]
70:["$","h3",null,{"id":"which-future-model-will-be-better-or-cheaper","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"Which future model will be better or cheaper?"}]
71:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Unknown. Neither product has verified pricing or callable performance evidence. Evaluate cost per accepted task after release rather than guessing from model names."}]
72:["$","h3",null,{"id":"can-evolink-route-either-future-model-now","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"Can EvoLink route either future model now?"}]
73:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"The linked product pages are tracking and alert surfaces, not proof of API access. EvoLink should only mark a route available after authenticated request, returned-model, usage, and billing verification."}]
74:["$","h3",null,{"id":"what-should-a-team-do-before-either-model-launches","className":"text-2xl font-semibold text-gray-900 mb-3 mt-6","children":"What should a team do before either model launches?"}]
75:["$","p",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":"Build a current baseline, save production-shaped evaluation tasks, define promotion and rollback gates, and keep the primary and fallback model configurable through a unified gateway."}]
76:["$","h2",null,{"id":"sources","className":"text-3xl font-bold text-gray-900 mb-4 mt-8","children":"Sources"}]
77:["$","ul",null,{"className":"list-disc pl-6 mb-6 space-y-2 text-gray-700","children":["\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["$","a",null,{"href":"https://platform.claude.com/docs/en/about-claude/models/overview","className":"text-blue-600 hover:text-blue-800 underline font-medium break-all","target":"_blank","rel":"noopener noreferrer","children":"Anthropic model overview"}]}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["$","a",null,{"href":"https://platform.claude.com/docs/en/about-claude/models/introducing-claude-fable-5-and-claude-mythos-5","className":"text-blue-600 hover:text-blue-800 underline font-medium break-all","target":"_blank","rel":"noopener noreferrer","children":"Anthropic: Introducing Claude Fable 5 and Claude Mythos 5"}]}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["$","a",null,{"href":"https://developers.openai.com/api/docs/models","className":"text-blue-600 hover:text-blue-800 underline font-medium break-all","target":"_blank","rel":"noopener noreferrer","children":"OpenAI models documentation"}]}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["$","a",null,{"href":"https://openai.com/index/ten-advances-in-mathematics/","className":"text-blue-600 hover:text-blue-800 underline font-medium break-all","target":"_blank","rel":"noopener noreferrer","children":"OpenAI: Ten advances in mathematics and theoretical computer science"}]}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["$","a",null,{"href":"https://openai.com/news/product-releases/","className":"text-blue-600 hover:text-blue-800 underline font-medium break-all","target":"_blank","rel":"noopener noreferrer","children":"OpenAI product releases"}]}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":["$","a",null,{"href":"https://openai.com/index/gpt-5-6/","className":"text-blue-600 hover:text-blue-800 underline font-medium break-all","target":"_blank","rel":"noopener noreferrer","children":"OpenAI: GPT-5.6 announcement"}]}],"\n",["$","li",null,{"className":"text-lg leading-relaxed","children":"$L80"}],"\n"]}]
78:["$","div",null,{"className":"text-gray-700 mb-6 leading-relaxed text-base md:text-lg break-words","children":["$","em",null,{"className":"italic","children":"Evidence last reviewed August 12, 2026. These expectations come from observing current products; they are not claims about either provider's private roadmap, final naming, or future specifications."}]}]
79:["$","td",null,{"className":"px-6 py-4 text-sm text-gray-800 border-r border-gray-200 last:border-r-0","children":"Start small, compare real traffic, and keep a rollback option"}]
81:I[64707,["6809","static/chunks/6809-c40780dcdbb38ec5.js","2619","static/chunks/2619-04bc32f026a0d946.js","5992","static/chunks/5992-8fd902e293526cdd.js","5904","static/chunks/5904-e56cb0328839b8b2.js","8414","static/chunks/app/%5Blocale%5D/blog/%5Bslug%5D/page-b98729166ea1f999.js"],"default"]
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c2:T408,<span style="color: #7dd3fc">const</span> response = <span style="color: #7dd3fc">await</span> <span style="color: #a78bfa">fetch</span>(<span style="color: #86efac">'https://api.evolink.ai/v1/chat'</span>, {
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  <span style="color: #fbbf24">headers</span>: {
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    <span style="color: #fbbf24">messages</span>: [{
      <span style="color: #fbbf24">role</span>: <span style="color: #86efac">'user'</span>,
      <span style="color: #fbbf24">content</span>: <span style="color: #86efac">'Hello, world!'</span>
    }]
  })
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No credit card required.","password_requirement_length":"At least 8 characters","password_requirement_uppercase":"Contains uppercase letter (A-Z)","password_requirement_lowercase":"Contains lowercase letter (a-z)","password_requirement_number":"Contains number (0-9)","password_create_placeholder":"Create a strong password","confirm_password":"Confirm Password","password_confirm_placeholder":"Re-enter your password","password_too_short":"Password must be at least 6 characters","accept_terms_required":"You must accept the terms and privacy policy","captcha_verifying":"Security verification in progress...","captcha_required":"Please complete the captcha verification","captcha_error":"Captcha verification failed, please try again","captcha_expired":"Captcha has expired, please verify again","validation_email_required":"Email address is required","validation_email_invalid":"Please enter a valid email address","validation_password_required":"Password is required","validation_password_requirements":"Password does not meet requirements","validation_passwords_no_match":"Passwords do not match","validation_terms_required":"You must accept the terms and privacy policy","validation_fix_issues":"Please fix the following issues:","error_registration_failed":"Registration failed. 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Please try again.","terms_agree_prefix":"I agree to the","terms_of_service":"Terms of Service","terms_and":"and","privacy_policy":"Privacy Policy","forgot_password_welcome_title":"Password Recovery","forgot_password_welcome_subtitle":"Secure and convenient password reset process","reset_password":{"success_title":"Password Reset Successful!","success_message":"Your password has been successfully reset.","loading":"Validating reset link...","invalid_token_title":"Invalid Reset Link","invalid_token_message":"This password reset link is invalid or expired.","request_new_link":"Request New Link","title":"Reset Password","subtitle":"Please enter your new password","processing":"Resetting password...","submit":"Reset Password","back_to_login":"Back to Login"},"signup":{"password":"New Password","password_placeholder":"Enter new password","confirm_password":"Confirm Password","confirm_password_placeholder":"Re-enter password"},"login":{"title":"Login"},"welcome_back_title":"Welcome Back","sign_up":"Sign Up","sign_up_with_google":"Sign up with Google","sign_up_with_github":"Sign up with GitHub","account_link_hint":"This email is already registered with Google. 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Agreement to Terms","content":"By accessing evolink.ai (\"Service\") provided by EVO GLOBAL TECHNOLOGIES LIMITED, you agree to these Terms. If you do not agree, you may not use the Service."},"accountSecurity":{"title":"2. Account Security","content":"You are responsible for safeguarding your API keys and account credentials. You are liable for all activities performed using your API key."},"payment":{"title":"3. Payment & No Refund Policy","content":"Our Services are provided on a pre-paid basis.","terms":["Pre-paid Credits: Our Services are provided on a pre-paid basis.","All Sales Final: Because we provide immediate access to digital computational resources, all purchases (including top-ups and subscriptions) are final and non-refundable.","No Refunds for Unused Credits: We do not offer refunds for unused credit balances under any circumstances.","Disputes: Filing a transaction dispute (chargeback) without contacting us first will result in the immediate and permanent termination of your account."]},"acceptableUse":{"title":"4. Acceptable Use Policy","content":"You agree NOT to use the Service for:","rules":["Illegal activities, generating sexually explicit content (NSFW), or promoting violence.","Reverse engineering, scraping, or reselling our API without permission."],"violation":"We reserve the right to ban your account without notice or refund if you violate these rules."},"disclaimer":{"title":"5. Disclaimer of Warranties","content":"The Service acts as a gateway to third-party AI models. We do not guarantee the accuracy, quality, or availability of content generated by these models. You use the Service at your own risk."},"liability":{"title":"6. Limitation of Liability","content":"To the maximum extent permitted by law, EVO GLOBAL TECHNOLOGIES LIMITED shall not be liable for any indirect, incidental, or consequential damages arising from your use of the Service."},"governingLaw":{"title":"7. Governing Law","content":"These Terms are governed by the laws of Hong Kong. Any disputes shall be resolved exclusively in the courts of Hong Kong."},"contact":{"title":"8. Contact Us","content":"For questions about these Terms, please contact us:","email":"support@evolink.ai","company":"EVO GLOBAL TECHNOLOGIES LIMITED","address":"FLAT 2304, 23/F HO KING COMM CENTRE, 2-16 FA YUEN STREET, MONG KOK, HONG KONG"}}},"privacy":{"title":"Privacy Policy","lastUpdated":"Last updated","effectiveDate":"January 10, 2026","sections":{"introduction":{"title":"1. Introduction","content":"EvoLink (\"we\", \"us\"), operated by EVO GLOBAL TECHNOLOGIES LIMITED, is committed to protecting your privacy. This policy explains how we handle your data when you use evolink.ai."},"dataCollection":{"title":"2. 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Data Security","content":"We implement industry-standard encryption and security measures to protect your information. However, no internet transmission is 100% secure."},"dataRetention":{"title":"6. Data Retention","content":"We retain your personal data only as long as necessary to provide the Service or to comply with legal/accounting requirements."},"userRights":{"title":"7. Your Rights","content":"You have the right to access, correct, or request deletion of your personal data. Please contact us to exercise these rights."},"contact":{"title":"8. Contact Us","content":"For privacy-related questions, contact us:","email":"support@evolink.ai","company":"EVO GLOBAL TECHNOLOGIES LIMITED","address":"FLAT 2304, 23/F HO KING COMM CENTRE, 2-16 FA YUEN STREET, MONG KOK, HONG KONG"}}}},"models":{"page":{"title":"AI Models Catalog","subtitle":"Explore today’s top AI models across providers in one place. 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All rights reserved.","built_with":"Built with precision for developers worldwide","discord":"Discord Community","github":"GitHub","x_twitter":"X (Twitter)","model_families":"Model Families","gpt_api_family":"GPT API Family","seedance_api_family":"Seedance API Family","kling_api_family":"Kling API Family","nano_banana_api_family":"Nano Banana API Family","seedream_api_family":"Seedream API Family","wan_api_family":"Wan API Family","claude_api_family":"Claude API Family","gpt_image_api_family":"GPT Image API Family","gemini_api_family":"Gemini API Family","pricing":"Pricing","ai_video_generators":"AI Video Generators","ai_video_generator":"AI Video Generator"},"evocode":{"meta":{"title":"EvoCode — One API for Code Agents & CLIs | EvoLink","description":"EvoCode is a CLI-ready LLM API for coding workflows. 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It's designed for real-world coding sessions with long outputs and multi-turn iterations.","q2":"Who is EvoCode for (code agents & CLIs)?","a2":"EvoCode is for developers running coding workflows through CLIs and code agents, including tools like Codex CLI, Claude Code CLI, and Gemini CLI. It's especially useful for iterative refactors, long code generation, and agent-style multi-step tasks. If your workflow benefits from stable long-running sessions and model flexibility, EvoCode is a good fit.","q3":"How do I set up EvoCode for Claude Code CLI?","a3":"Use the Quickstart (CLI) section on this page for the Claude Code CLI setup. Follow the CLI-specific environment variable configuration shown there (endpoint + auth token) using your EvoLink API key. After configuration, you can run Claude Code CLI the same way you normally do.","q4":"How do I set up EvoCode for Codex CLI or Gemini CLI?","a4":"Open View CLI Docs and select the guide for your specific CLI (Codex CLI or Gemini CLI). Copy the recommended environment variable configuration (base URL/endpoint + API key) for that tool. The documentation is the source of truth for the latest variable names and setup steps.","q5":"Do I need to change my CLI commands or rewrite my code to use EvoCode?","a5":"In many cases, you can keep your existing CLI commands and workflow. EvoCode is intended to work via configuration (endpoint + API key) rather than requiring you to rewrite your tooling. For edge cases, follow the CLI-specific docs and examples.","q6":"Does EvoCode support streaming output and tool/function calling?","a6":"EvoCode is built for coding workflows that rely on real-time output and multi-step agent interactions. For the current supported behaviors (including streaming and tool/function calling patterns), refer to the EvoCode docs and the examples linked from this page."},"reliability":{"title":"Built for Long-Running Coding","subtitle":"Built for real-world CLI sessions — where streaming output runs long, iterations stack up, and upstream providers occasionally wobble.","features_title":"Designed for long-running sessions","features":{"streaming":{"title":"Streaming-first behavior","desc":"Optimized for continuous CLI output and long generations. 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EvoCode applies that same infrastructure discipline to coding agents and CLI workflows.","faq_title":"FAQ (quick answers)","faqs":{"privacy":{"q":"Does EvoCode store my prompts or code?","a":"EvoCode isn’t built to persist your prompt/code content as a product feature. We may log **request metadata** (e.g., timestamps, token usage, selected model, error codes) for billing, support, and reliability analysis."},"retries":{"q":"How does EvoCode handle retries and rate limits?","a":"CLI and agent workflows are often retry-tolerant. EvoCode is designed to recover from transient upstream issues (like 5xx and rate limits) with safe retry patterns and predictable error responses. For edge cases, follow the CLI-specific integration docs."},"interruptions":{"q":"What should I do if streaming gets interrupted?","a":"You’ll receive a clear error that your CLI/agent can handle. 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Terms may change."}},"openclaw":{"meta":{"title":"OpenClaw — One API for Code Agents & CLIs | EvoLink","description":"OpenClaw is a CLI-ready LLM API for coding workflows. Use Claude Code, Codex, and Gemini CLI with one EvoLink key, model flexibility, and production reliability."},"hero":{"title":"OpenClaw Manager — One-click install & manage OpenClaw","subtitle":"Install OpenClaw and connect Telegram or Feishu with a guided wizard. 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Switch your OpenClaw provider to EvoLink to make API usage more affordable—estimate savings in seconds.","solve_title":"Built for OpenClaw workflows:","solve_items":{"1":"Faster setup — no dependency hunting, no manual wiring","2":"Telegram or Feishu connected & verified — guided setup + one-click verification","3":"More affordable API usage — switch providers without changing how you work"},"not_title":"This installer is NOT:","not_items":{"1":"A new agent framework — it's an installer + configuration flow","2":"A messaging client — it only helps connect and verify your integration","3":"A fixed discount guarantee — savings depend on workload and pricing rules"},"link_text":"Quickstart (CLI)","built_for_title":"Built for real-world OpenClaw runs","built_for_body":"OpenClaw workflows are often long-running and iterative. This installer is designed to get you set up fast, verify your Telegram or Feishu connection, and reduce the friction that breaks runs mid-stream."},"integration":{"title":"Works seamlessly with","apps":{"claude_code":"Claude Code","cursor":"Cursor","open_hands":"OpenHands","aider":"Aider"}},"quickstart":{"title":"Quickstart: Configure Your CLI in Minutes","step1_title":"Get your API Key","step1_desc":"Sign up for EvoLink and create an API key in your dashboard.","step2_title":"Configure your CLI","step2_desc":"Set the base URL and API key as environment variables.","step3_title":"Run your CLI","step3_desc":"Use your CLI as usual. 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The goal is to reduce setup time and get you to a working baseline quickly.","q2":"How do I install OpenClaw on macOS using the .dmg?","a2":"Download the .dmg, open it, and follow the guided installer steps. After setup, run the verification step to confirm Telegram connectivity.","q3":"Does this handle Telegram configuration for OpenClaw automatically?","a3":"It provides a guided setup and verification flow for Telegram configuration. Specific credentials and permissions still depend on your chosen Telegram bot/setup method.","q4":"Why am I getting OpenClaw 429 rate limit errors?","a4":"A 429 usually means requests are being throttled by your current provider's rate-limit policy. Results vary by model tier and usage; check the troubleshooting section for mitigation steps.","q5":"Can EvoLink reduce API cost for long-running OpenClaw workflows?","a5":"EvoLink is designed to make usage more affordable for long-running agent sessions, depending on model and workload. Use the calculator to estimate potential savings for your usage pattern.","q6":"Does the installer support Windows or Linux?","a6":"This package is for macOS. For Windows or Linux, use the manual installation docs or platform-specific options if available.","q7":"How do I uninstall OpenClaw on macOS?","a7":"Uninstall steps depend on where components were installed. Follow the uninstall/cleanup guide in Docs to remove the app and optional configuration.","q8":"What if Telegram connection fails during setup?","a8":"Re-run verification and confirm bot credentials and permissions. If it still fails, follow the troubleshooting steps and copy only non-sensitive error output."},"reliability":{"title":"Built for real-world OpenClaw runs","subtitle":"OpenClaw workflows are often long-running and iterative. This installer is designed to get you set up fast, verify your Telegram connection, and reduce the friction that breaks runs mid-stream.","features_title":"Designed for long-running sessions","features":{"streaming":{"title":"Guided setup + one-click verification","desc":"Install OpenClaw, connect Telegram, and confirm everything works before you start a long session."},"timeout":{"title":"Troubleshooting-first setup","desc":"Clear, actionable checks for common setup issues—so you can fix problems quickly instead of guessing."},"resilience":{"title":"More affordable API usage for long runs","desc":"Route calls through EvoLink to make extended workflows more affordable (savings vary by model and usage)."},"observability":{"title":"Centralized visibility (optional)","desc":"Track usage and spend in one place via EvoLink, so long-context sessions don't surprise you."}},"ecosystem_title":"Not a side project","ecosystem_desc":"OpenClaw is part of **EvoLink**, a unified AI API platform that serves production traffic across **chat, image, and video** models. OpenClaw applies that same infrastructure discipline to coding agents and CLI workflows.","faq_title":"FAQ (quick answers)","faqs":{"privacy":{"q":"Does OpenClaw store my prompts or code?","a":"OpenClaw isn’t built to persist your prompt/code content as a product feature. We may log **request metadata** (e.g., timestamps, token usage, selected model, error codes) for billing, support, and reliability analysis."},"retries":{"q":"How does OpenClaw handle retries and rate limits?","a":"CLI and agent workflows are often retry-tolerant. OpenClaw is designed to recover from transient upstream issues (like 5xx and rate limits) with safe retry patterns and predictable error responses. For edge cases, follow the CLI-specific integration docs."},"interruptions":{"q":"What should I do if streaming gets interrupted?","a":"You’ll receive a clear error that your CLI/agent can handle. In most workflows, the recommended approach is to retry idempotent steps and continue the session rather than restarting from scratch."}}},"roadmap":{"title":"Roadmap","now":"Now","next":"Next","future":"Future","api_title":"OpenClaw API","api_desc":"CLI & agent-compatible unified LLM API","agent_title":"OpenClaw Agent","agent_desc":"Packaged agent experiences for common workflows","tools_title":"More Tools","tools_desc":"IDE plugins, VS Code extension, and more"},"bottom_cta":{"title":"Start building with OpenClaw","subtitle":"Configure once, keep your coding workflow, switch models anytime.","cta_primary":"Get API Key","cta_secondary":"View Docs","cta_secondary_link":"https://evolink.ai/docs/en/integration-guide/claude-code-cli"},"claude_pricing":{"title":"Claude Opus 4.6 Models & Pricing","badge_text":"Save {percentage}% vs official pricing","unit":"Unit","unit_tooltip":"Input: Tokens sent to the model (your prompt). Output: Tokens generated by the model (response).","last_updated":"Last updated","recommended":"Recommended","price":"Price","official_price":"Official Price","save":"Save","vs_official":"vs official","get_api_key":"Get API Key","copy_model_name":"Copy model name","copied":"Copied!","context_tier":"Context Tier","context_tier_tooltip":"Sonnet pricing varies by context window size. ≤200K uses standard pricing, >200K uses extended pricing.","view_extended_pricing":"View >200K pricing","hide_extended_pricing":"Hide >200K pricing","details_title":"Detailed Price Comparison","show_cache_pricing":"Show cache pricing","hide_cache_pricing":"Hide cache pricing","cache_tooltip":"Cache pricing applies only when using prompt caching; otherwise ignore.","note_unit":"Unit: USD per 1M tokens.","note_official":"Official price refers to the official list price for comparison.","note_sonnet_tiers":"Sonnet pricing varies by context tier (≤200K vs >200K).","note_cache":"Cache Read/Write pricing applies only when prompt caching is used.","note_changes":"Prices and discounts may change; this page is updated regularly."},"downloads":{"title":"Download OpenClaw Manager","subtitle":"Available for macOS, Windows, and Linux. Pick your platform and architecture below.","selected":"Selected","download_btn":"Download","help_title":"Not sure which version?","help_macos":"Apple Silicon (arm64) is for Macs with M1/M2/M3/M4 chips (2020 and later). Intel (x64) is for older Macs with Intel processors. Check  → About This Mac to confirm.","help_linux":"Most modern servers and desktops use x86_64 (x64). ARM64 is for ARM-based servers or devices like Raspberry Pi 4/5. Run 'uname -m' in your terminal to check.","help_windows":"Most Windows PCs use x86_64 (x64). If you're unsure, this is almost certainly the right choice.","downloaded_prompt":"Downloaded?","continue_step1":"Continue to Step 1"},"download":{"title":"Guided Setup (3 steps) — Telegram or Feishu","subtitle":"No terminal. Just copy & paste credentials.","subtitle2":"UI shown on macOS — steps are the same on Windows/Linux.","micro_downloaded":"Already downloaded? Start here.","micro_builds":"Need a different build?","micro_builds_link":"See all downloads →","channel_telegram":"Telegram","channel_feishu":"Feishu","step1_label":"Step 1","step1_time":"≈ 30 sec","step1_title":"Create an instance","step1_desc":"Choose a model, then pick your channel: Telegram or Feishu.","step1_note":"You can create multiple instances for different teams/bots.","prereq_title":"Before you start (you'll need these):","prereq_apikey_title":"EvoLink API key","prereq_apikey_desc":"Get it in your EvoLink dashboard → API Keys.","prereq_tg_token_title":"Telegram bot token","prereq_tg_token_desc":"Create a bot via @BotFather, then copy the token.","prereq_tg_userid_title":"Telegram user ID","prereq_tg_userid_desc":"Send /start to @userinfobot to get your numeric ID.","prereq_feishu_appid_title":"Feishu App ID","prereq_feishu_appid_desc":"From Feishu Open Platform → your app's credentials.","prereq_feishu_secret_title":"Feishu App Secret","prereq_feishu_secret_desc":"From Feishu Open Platform → your app's credentials.","prereq_feishu_note":"You may need admin access to complete Feishu console steps.","step2_label":"Step 2","step2_time":"≈ 1 min","step2_title":"Paste credentials → Deploy","step2_desc":"Paste your credentials and click Deploy. We'll handle the setup for you.","step3_label":"Step 3","step3_tg_time":"≈ 30 sec","step3_tg_title":"Connect your Telegram user","step3_tg_desc":"Paste your Telegram user ID and click Connect. Then open Telegram and send a message to your bot.","step3_feishu_time":"≈ 2–3 min, one-time","step3_feishu_title":"Enable Feishu events, then Done","step3_feishu_desc":"You'll complete a one-time Feishu console step so your app can receive messages.","done_tg_label":"Done","done_tg_title":"Test it in Telegram","done_tg_desc":"If the bot replies, you're all set.","done_feishu_label":"Done","done_feishu_title":"Send a message to your Feishu bot","done_feishu_desc":"If the bot replies, you're all set.","feishu_extra_title":"Feishu extra step (2–3 min, one-time)","feishu_check1":"In Feishu Open Platform, go to Event Subscriptions. Select Receive events via WebSocket and Save.","feishu_check2":"Add the event:","feishu_check3":"Go to Version Management & Release. Create a version and Release / Submit for review (as required).","feishu_check4":"Back here, click Done and send a message to your Feishu bot to start chatting.","quick_fixes_title":"Quick fixes","tg_fix1":"Bot doesn't reply? Open the bot chat and tap Start, then try again.","tg_fix2":"Wrong token? Re-copy from @BotFather and click Deploy again.","tg_fix3":"Can't find user ID? Send /start to @userinfobot.","feishu_fix1":"Not receiving messages? Double-check WebSocket mode + event name im.message.receive_v1.","feishu_fix2":"App not available? Make sure the app version is released/approved.","feishu_fix3":"Still stuck? Go to Docs → Feishu section.","cta":"Download (.dmg)","cta_link":"https://evolink.ai/docs/en/integration-guide/openclaw-auto","cta_download_for":"Download for","other_platforms":"Other platforms","all_downloads_title":"All Downloads"},"pricing":{"eyebrow":"Claude Opus 4.6 pricing on EvoLink","title_line1":"Claude Models Available","title_line2":"for OpenClaw (Haiku, Sonnet, Opus)","body_title":"Built for real-world OpenClaw runs","body":"OpenClaw workflows are often long-running and iterative. This installer is designed to get you set up fast, verify your Telegram connection, and reduce the friction that breaks runs mid-stream.","bullet1":"Claude Haiku 4.5","bullet2":"Claude Sonnet 4.5","bullet3":"Claude Sonnet 4.0","bullet4":"Claude Opus 4.6","bullet5":"Claude Opus 4.5","bullet6":"Claude Opus 4.1","offer":"Limited-time offer: 30% off official pricing!","disclaimer":"Savings vary by tier, usage pattern, and context length. Use the calculator for an estimate.","card_title":"Claude API Pricing","card_subtitle":"List price vs EvoLink (0.7×)","card_save":"30% off official pricing","card_unit":"USD / 1M tokens","show_official":"Show list price","hide_official":"Hide list price","col_model":"Model","col_input":"Input","col_output":"Output","col_cache":"Cache (R/W)","recommended":"Recommended","view_tier":"View {context} tier","hide_tier":"Hide {context} tier","tier":"tier","get_api_key":"Get API Key","integration_guide":"Integration Guide","integration_guide_link":"https://evolink.ai/docs/en/integration-guide/openclaw-auto","terms_disclaimer":"Applies to Claude routed via EvoLink. Terms may change."}},"appUpdate":{"title":"New version available","description":"Refresh to load the latest update.","refresh":"Refresh","dismiss":"Later"},"marketing":{"hero":{"badge":"One API. Every Model. Production Ready.","title_main":"AI Model API Platform\nfor Production","subtitle":"Access leading LLM, image, and video models through one EvoLink API. Compare pricing, read docs, and start building for production apps, agents, and workflows.","cta_get_api_key":"Get API Key","cta_explore_models":"Explore Models","cta_read_docs":"Read Docs","trust_no_card":"No credit card","trust_pay_as_you_go":"Pay as you go","trust_cancel_anytime":"Cancel anytime","trust_uptime":"99.9% uptime","scroll_to_next":"Scroll to next section"},"why_evolink":{"section_label":"02  Why EvoLink.","title":"Model access should be clear\nbefore you <highlight>integrate</highlight>.","intro":"EvoLink isn't a price-cut aggregator or a model showroom. It's the platform layer that makes adding an AI model to a real product a deliberate choice instead of a guess.","point1_number":"/01","point1_title":"<em>Clear</em> model access","point1_desc":"See supported models, capabilities, and docs before you start integrating. No mystery wrappers, no surprise behavior — every model has a documented surface.","point1_cta":"Browse supported models →","point2_number":"/02","point2_title":"<em>Flexible</em> model choices","point2_desc":"Compare model families as your needs change. Move between GPT, Claude, Gemini, and image or video families without rewriting your stack each time.","point2_cta":"Compare model families →","point3_number":"/03","point3_title":"Built for <em>real</em> use","point3_desc":"Start from model pages, docs, and API access paths — not from demos. Every entry point is built to lead toward an integration you can ship.","point3_cta":"Read the docs →"},"quick_entry":{"title":"Start from what you need.","model_apis":"Model APIs","model_apis_desc":"Browse all model APIs","pricing":"Pricing","pricing_desc":"Compare model costs","docs":"Docs","docs_desc":"Start your first API call","integrations":"Integrations","integrations_desc":"Connect tools and agents","alternatives":"Alternatives","alternatives_desc":"Migrate from providers"},"model_types":{"section_label":"/ 03 — Models","section_title":"Explore Models by Type","section_subtitle":"Explore video, image, language, and audio models available through EvoLink. Compare leading APIs by the capabilities and controls that matter to your production workflow.","video_title":"AI Video Generation APIs","video_description":"Generate and edit video from 480p to 4K, with capabilities spanning native audio, first-and-last-frame control, multimodal references, and video editing. Available models include <seedance>Seedance 2.5</seedance>, <seedance20>Seedance 2.0</seedance20>, <minimax>MiniMax H3</minimax>, and more. Compare by output specifications, duration, and cost per second. You can also find video inspiration in <prompts>Seedance 2.5 prompt examples</prompts>.","video_cta":"Explore All Video APIs","image_title":"AI Image Generation APIs","image_description":"Generate images from text or edit them with natural-language instructions and reference images, with support for text rendering, character and product consistency, local edits, and multi-image references. Available models include <seedream>Seedream 5.0 Pro</seedream>, <gpt>GPT Image 2</gpt>, <nano>Nano Banana 2</nano>, and more. Compare by output resolution, editing precision, generation speed, and cost per image.","image_cta":"Explore All Image APIs","text_title":"LLM & AI Chat APIs","text_description":"Build chat, complex reasoning, code generation, and agent workflows with tool calling and structured outputs. Available models include <claude>Claude Opus 5</claude>, <kimi>Kimi K3</kimi>, <gpt>GPT-5.6</gpt>, and more. Compare by reasoning and coding capability, response speed, context length, and token cost.","text_cta":"Explore All LLM APIs","audio_title":"AI Audio & Music APIs","audio_description":"Generate complete songs, soundtracks, vocals, narration, multi-speaker dialogue, sound effects, and ambience from prompts and reference audio. Use <suno>Suno</suno> for full-track music generation and <seedaudio>Seed Audio 1.0</seedaudio> for controllable voice, dialogue, and mixed audio. Compare by output type, duration, controllability, generation speed, and cost.","audio_cta":"Explore All Audio APIs","audio_alt":"AI audio and music generation interface","video_alt":"AI Video Generator","image_alt":"AI Image Generator","text_alt":"LLM Chat"},"feature_highlight":{"title":"Built for Developers","subtitle":"Simple integration, powerful capabilities. Start building with EvoLink in minutes.","feature1_title":"Single API for All Models","feature1_description":"Switch between 170+ AI models without changing your code. One unified interface for text, image, video, and audio generation.","feature2_title":"Automatic Failover & Retry","feature2_description":"99.9% uptime guaranteed. Our intelligent system automatically handles failures and retries across multiple providers.","feature3_title":"Cost Transparency Built In","feature3_description":"Per-model pricing visible before you call. Real-time dashboard tracks usage and costs — so there are no billing surprises.","cta_text":"Get API Key","code_example":"$c2"},"value_propositions":{"section_label":"/ 05 — Production","title":"Built for <em>Production</em>","subtitle":"Reliable infrastructure, transparent pricing, and real-time control — so you can ship with confidence.","reliability_title":"Never Fail a Request","reliability_uptime":"99.9%","reliability_with":"uptime with","reliability_failover":"automatic failover","and":"and","reliability_code":"> uptime: 99.9%\n> failover: auto\n> latency: <50ms","reliability_metric":"uptime","compat_title":"Smart Model Routing","compat_desc_prefix":"One request,","compat_highlight":"best provider picked automatically","compat_desc_suffix":"— EvoLink routes to the fastest, cheapest, or most reliable endpoint in real time.","compat_code":"request  → EvoLink router\n  ├─ latency check\n  ├─ cost optimization\n  └─ auto failover\nresponse ← best provider","compat_metric":"<50ms","compat_metric_label":"routing overhead","pricing_title":"Transparent Model Pricing","smart_routing":"Usage-based pricing","savings_percent":"across all models","pricing_code":"Usage-based pricing\nPay only for what you use\nNo monthly minimums\nView pricing per model","pricing_metric":"pricing model","pricing_tagline":"View model costs before you call.","pricing_pay_label":"Pay per use","dashboard_title":"One Dashboard, Total Control","track_usage":"Track usage","costs_realtime":"costs in real-time","dashboard_metric":"dashboard","dashboard_stats_calls":"45K calls","dashboard_stats_saved":"$$89 saved"},"integration_steps":{"section_label":"/ 06 — Integration","title":"Integration in <em>4 Steps</em>","subtitle":"Unified interface design, compatible with OpenAI, Anthropic, Google and other mainstream SDKs. Seamless migration with zero barriers.","step1_title":"Sign Up","step1_desc":"30-second quick registration, free credits included, no credit card required.","step2_title":"Create API Key","step2_desc":"One-click generation of globally-applicable API Key with easy management.","step3_title":"Choose Integration Method","step3_desc":"Supports OpenAI, Anthropic, Google formats. Unified gateway auto-adapts, no code refactoring needed.","step3_formats":"OpenAI SDK, Anthropic SDK, Google AI SDK, Native HTTP","step4_title":"Start Calling","step4_desc":"Update Base URL and API Key, instantly enjoy intelligent routing and cost optimization.","step4_code":"baseURL: \"https://api.evolink.ai/v1\""},"cta_section":{"title":"Ready to access AI models for production?","subtitle":"One API. Every model. Built for production.","cta_primary":"Get API Key","cta_secondary":"Read Docs","trust_free_credits":"Free Credits","trust_no_card":"No Credit Card","trust_quick_setup":"5-Minute Setup"},"faq":{"section_label":"/ 07 — FAQ","title":"Common <em>questions</em>","subtitle":"Everything you need to know about using EvoLink for production AI workloads","items":[{"question":"What is EvoLink?","answer":"EvoLink is an AI model API platform. You can access 170+ models from 30+ providers — including GPT, Claude, Gemini, Seedance, Veo, and Suno — through one EvoLink API. Browse models, compare pricing, read docs, get an API key, and start calling models for production apps, agents, and workflows."},{"question":"How does EvoLink pricing work?","answer":"EvoLink uses transparent pay-as-you-go pricing. You only pay for what you use, calculated per token, image, or video second depending on the model. View model pricing on our pricing page before you call. No monthly minimums, no setup costs, and new users get free credits to test."},{"question":"How long does it take to integrate EvoLink into my existing application?","answer":"Integration typically takes less than 10 minutes. If you're already using OpenAI or similar APIs, you just need to change your base URL and API key. Our API is compatible with OpenAI's format, so most existing code works without modification. We provide SDKs for Python, JavaScript, Go, and more, plus comprehensive documentation and migration guides."},{"question":"Which AI models and providers does EvoLink support?","answer":"EvoLink supports 170+ models from leading providers including OpenAI (GPT-4o, GPT-Image), Anthropic (Claude 4 Sonnet, Opus), Google (Gemini 2.5, Veo 3), BytePlus (Seedance, Seedream), and more. We continuously add new models and providers. All models are accessible through our unified API endpoint, so you can switch models with a single parameter change."},{"question":"What happens if a provider goes down? Will my application fail?","answer":"No, your application stays online. EvoLink provides automatic failover across multiple providers. If OpenAI experiences an outage, we instantly route your requests to alternate providers like Anthropic or Google. Our system maintains 99.9% uptime by monitoring provider health in real-time and pre-emptively routing away from degraded services. You get reliability that's impossible with a single provider."},{"question":"Does routing through EvoLink add latency to my API calls?","answer":"EvoLink adds minimal latency (typically <50ms) while often improving overall response time. Our intelligent routing selects the fastest available provider based on real-time performance metrics. Many users actually experience faster responses because we route around congested providers and use geographic optimization. Our infrastructure is deployed globally across AWS, ensuring low latency worldwide."},{"question":"Is my data secure when using EvoLink? Do you store my prompts?","answer":"Your data security is our top priority. EvoLink acts as a secure proxy and does NOT store your prompts or responses. All data is encrypted in transit using TLS 1.3. We maintain detailed audit logs for compliance but never log sensitive content. Your data stays yours."},{"question":"Do I need API keys from each provider, or just EvoLink?","answer":"You only need one EvoLink key - we handle all provider relationships for you. This means less security risk (fewer keys to manage), simplified billing (one invoice), and instant access to new providers without additional setup. Your EvoLink key works across all supported models and providers."},{"question":"Why use EvoLink instead of going directly to OpenAI or Anthropic?","answer":"EvoLink offers key advantages: 1) Access 170+ models from 30+ providers through one API, 2) Automatic failover for 99.9% uptime, 3) Clear, transparent pricing across all models, 4) Unified billing and usage analytics, 5) Flexible model choices - switch models without code changes. Direct provider access can't match our reliability, model variety, or convenience."},{"question":"Can I try EvoLink for free before committing?","answer":"Yes! Sign up to get free credits - no credit card required. This gives you enough usage to test multiple models, evaluate performance, and explore pricing. Our dashboard shows detailed analytics so you can review costs and usage. Most developers are up and running within 5 minutes."}]},"families_label":"/ 04 — Compare","families_heading":"Compare AI model families before you <em>integrate</em>","families_subtitle":"Explore related model versions by use case, pricing, capability, and API workflow. Choose the right model family before integrating through EvoLink's unified API.","families_gpt_title":"GPT API Family","families_gpt_desc":"Compare GPT models for reasoning, coding, context, and cost.","families_gpt_tags":"Reasoning,Coding,Chat,Cost","families_claude_title":"Claude API Family","families_claude_desc":"Compare Claude models for coding agents, reasoning, and long-context workflows.","families_claude_tags":"Agent,Coding,Long context,Reasoning","families_gemini_title":"Gemini API Family","families_gemini_desc":"Compare Gemini models for reasoning, multimodal tasks, speed, and cost.","families_gemini_tags":"Reasoning,Multimodal,Fast,Cost-efficient","families_gpt_image_title":"GPT Image API Family","families_gpt_image_desc":"Compare GPT Image models for generation, editing, and creative production workflows.","families_gpt_image_tags":"Generation,Editing,Creative workflow,Image API","families_cta":"Compare models"},"about":{"hero":{"h1":"The model access layer for AI teams shipping to production.","subtitle":"One API. Every model. Production ready. EvoLink helps AI teams access, compare, and operate model APIs across LLM, image, video, and audio workloads — without rebuilding their stack every time the model market changes.","cta_primary":"Get API Key","cta_secondary":"Read the Docs","trust_signal":"Free Credits · No Credit Card · 5-Minute Setup"},"why_exists":{"title":"Why EvoLink Exists","p1":"Adding an AI model to a real product should be a <strong>deliberate choice — not a guess.</strong>","p2":"But today, the model layer is fragmented. Pricing is opaque across providers. APIs differ in shape, retry behavior, and async patterns. Providers go down on their own schedule. Bills don't match logs. What's supposed to be infrastructure ends up as a project that every team rebuilds from scratch.","p3":"EvoLink exists to give that layer back its shape. One API for every model. Clear docs and pricing before you integrate. Flexible enough to swap models as your needs change. Built for teams that have moved past <em>\"play with the model\"</em> and are now answering harder questions: how do I keep this stable, what does it actually cost per request, and how do I adopt the next model without a rewrite."},"believe":{"title":"What We Believe","p1_title":"Clear model access.","p1_desc":"See supported models, capabilities, and docs before you start integrating. No mystery wrappers. No surprise behavior. Every model has a documented surface — pricing, parameters, return shape, error codes — and you can read all of it before you ever create an API key. <link_models>Browse supported models</link_models>","p2_title":"Flexible model choices.","p2_desc":"Move between GPT, Claude, Gemini, and image or video families without rewriting your stack. New frontier models ship every month. The whole point of EvoLink is that you can adopt them by changing one parameter — not by re-architecting. <link_collections>Compare model families</link_collections>","p3_title":"Built for real use.","p3_desc":"We don't optimize for the demo. Async patterns, retries, callbacks, status, and provider fallback are first-class — because the difference between a prototype and a product is what happens on call number 10,000. <link_docs>Read the docs</link_docs>","p4_title":"","p4_desc":""},"building_for":{"title":"What We're Building For","intro":"EvoLink is built for three jobs. Each one needs the same things — reliable access, clear costs, flexible model choices — but from a different angle.","card1_title":"For developers shipping production apps","card1_desc":"You need predictable behavior, clear pricing, and a model layer that doesn't break when a provider does. One key, one SDK, every model behind it.","card1_cta":"Read the API docs →","card2_title":"For teams scaling AI features","card2_desc":"You need to compare models without rewriting code, route traffic by quality or cost, and trust that what worked yesterday still works today.","card2_cta":"Browse models →","card3_title":"For media generation workflows","card3_desc":"Production-ready async APIs for Veo 3.1, Sora 2, Kling, Seedance, Wan, and more. Task IDs, polling, webhook callbacks, retry handling, and clear cost-per-output.","card3_cta":"Read the docs →"},"trust":{"title":"How We Earn Trust","intro":"Trust isn't a tagline. Here's how we operate, and what we measure ourselves on.","coverage_title":"Coverage","coverage_desc":"<strong>170+</strong> models from 30+ providers — LLM, image, video, and audio — accessible through one EvoLink API. Drop-in compatibility with OpenAI, Anthropic, and Google SDK formats, so most existing code works with a base URL and key change. <link_models>Browse models</link_models>","reliability_title":"Reliability","reliability_desc":"<strong>99.9% observed uptime</strong> across recent months, with provider monitoring and automatic failover when an upstream provider degrades. Routing overhead stays in the <strong>low tens of milliseconds</strong> based on our internal observations.","cost_title":"Cost transparency","cost_desc":"Usage-based pricing on every model. Per-model prices are visible before you call. A real-time dashboard shows usage and costs as they happen — so the pricing page, the dashboard, and the bill all describe the same thing.","data_title":"Data handling","data_desc":"EvoLink acts as a secure proxy. <strong>Prompts and responses are not stored.</strong> All traffic is encrypted in transit with <strong>TLS 1.3</strong>. Audit logs cover compliance metadata, not request content.","keys_title":"API keys","keys_desc":"One EvoLink key replaces the individual provider keys you'd otherwise need to issue, rotate, and secure. Per-key usage tracking and revocation."},"who":{"title":"Who We Are","p1":"EvoLink is built by a team focused on AI model infrastructure, developer tooling, and production API operations. We work with teams that need reliable access to fast-moving AI models without rebuilding their stack every time the model market changes.","p2":"Our goal isn't to be the cheapest gateway. <strong>It's to be the model layer teams can keep building on as the frontier shifts.</strong>","p3":"EvoLink launched in 2025 and is operated by EVO GLOBAL TECHNOLOGIES LIMITED, a company registered in Hong Kong, serving developers and AI teams globally."},"use_cases":{"title":"Common Use Cases We See","intro":"These aren't customer quotes — they're patterns we see across teams using EvoLink in production.","uc1":"<strong>AI video teams</strong> use EvoLink to run long-running generation jobs through async APIs with webhook callbacks, instead of holding polling connections open against multiple providers.","uc2":"<strong>Agent and CLI teams</strong> use EvoLink as a configurable model backend, so they can switch between Claude, GPT, and other models for different workloads with a config change instead of a refactor.","uc3":"<strong>SaaS engineering teams</strong> use EvoLink to consolidate per-model usage tracking, unified billing, and provider failover into one integration instead of three.","uc4":"<strong>Teams migrating off direct provider APIs or other gateways</strong> adopt EvoLink for the same OpenAI-compatible interface they already have, with broader model coverage and a single dashboard.","footer":"We'll publish named customer stories as teams go public with their setups."},"next":{"title":"Where to go next","intro":"If you want to go deeper before deciding:","changelog_title":"Changelog","changelog_desc":"What we shipped this month","docs_title":"Docs","docs_desc":"Start integrating in minutes","models_title":"Models","models_desc":"Browse all supported models"},"community":{"title":"Join the community","intro":"We're building EvoLink in the open. Follow our progress, share what you're building, and tell us what's broken."}},"apiUpdates":{"title":"API Updates","subtitle":"Stay informed about the latest changes and improvements across all our APIs"},"blog":{"list":{"title":"EvoLink.AI Blog","subtitle":"Technical insights, tutorials, and updates from the EvoLink team. 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