DeepSeek V4 API

DeepSeek V4 API is DeepSeek's upcoming coding-focused large language model. With leaked benchmarks showing ~90% HumanEval and >80% SWE-bench Verified, DeepSeek V4 targets the same performance tier as Claude Opus 4.6 and GPT-5.2 Thinking — at a fraction of the cost. Access the DeepSeek V4 API on EvoLink the moment it launches.

DeepSeek V4 is coming soon — try DeepSeek V3.2 in the meantime

DeepSeek V4 API — Next-Gen Coding Model with 1M Context

What is the DeepSeek V4 API?

All V4 specs below are based on leaked or reported data and will be updated with confirmed numbers at launch.

Focus

A coding-first model built for developers

The DeepSeek V4 API gives developers access to DeepSeek's next-generation model through a standard OpenAI-compatible endpoint. Reuters reported that V4 is specifically designed for "coding and very long code prompts" — a deliberate focus that sets it apart from general-purpose models. Leaked benchmarks suggest it could match Claude Opus 4.6 on SWE-bench Verified while maintaining DeepSeek's 10x+ cost advantage.

Architecture

Built on new architecture

DeepSeek V4 introduces Engram Conditional Memory — a retrieval architecture from a January 2026 paper by DeepSeek founder Liang Wenfeng. Combined with sparse attention and FP8 quantization, V4 is designed for efficient long-context inference. Reports suggest it can run on dual RTX 4090s or a single RTX 5090, making it potentially the most accessible frontier model for self-hosting.

Context

Extended context for repo-level tasks

DeepSeek's consumer chatbot already supports >1M tokens (as of Feb 11, 2026). If the DeepSeek V4 API exposes similar context lengths, developers could process entire codebases in a single pass — dependency graphs, test suites, configs, and documentation together. This matters for large refactors, cross-file analysis, and migration planning.

What can you build with the DeepSeek V4 API?

Agentic coding pipelines

DeepSeek V4's reported >80% SWE-bench Verified score puts it in the tier needed for autonomous bug fixing, code review, and PR generation. Pair it with a scaffold like SWE-agent or OpenHands and let it resolve real GitHub issues end-to-end.

Use-case showcase of DeepSeek V4 API agentic coding

Long-context code analysis

With a potential 1M+ token context window, DeepSeek V4 can ingest entire repositories for architecture reviews, dependency audits, and migration impact analysis — tasks that currently require chunking and lose cross-file context.

Use-case showcase of DeepSeek V4 API long-context analysis

Cost-efficient batch processing

If DeepSeek V4 pricing stays in the V3 range ($0.28-$0.42/1M tokens), large-scale code analysis, test generation, or documentation tasks become 10-15x cheaper than equivalent Claude Opus or GPT-5.2 workloads.

Use-case showcase of DeepSeek V4 API cost efficiency

Why access DeepSeek V4 through EvoLink

Get day-one availability, automatic fallbacks, and side-by-side evaluation against Claude and GPT — all from one API key.

Day-one availability

EvoLink adds new models within hours of release. When DeepSeek V4 launches, it will be available through the same API endpoint — switch with a model ID change, no new integration needed.

Automatic fallbacks

Launch week means rate limits and potential instability. EvoLink can fall back to DeepSeek V3 or Claude if V4 is throttled, keeping your pipeline running without manual intervention.

A/B test against Claude and GPT

One API key gives you DeepSeek V4, Claude Opus 4.6, Claude Sonnet 4.6, and GPT-5.2. Run the same coding tasks across all four models and compare quality, latency, and cost on your actual codebase.

How to integrate the DeepSeek V4 API

EvoLink is fully OpenAI SDK-compatible. Use the same client and change the base URL to https://evolink.ai/v1.

Step 1 — Get your API key

Sign up at evolink.ai/signup to create your API key. One key gives you access to DeepSeek, Claude, GPT, and 200+ models — no separate keys needed. Already have an EvoLink account? You're ready. Skip to Step 2.

Step 2 — Call the API

Set your base URL to https://evolink.ai/v1 and use model: "deepseek-chat" in your API calls. EvoLink is fully OpenAI SDK-compatible — if you've used the OpenAI Python/Node SDK before, just swap the base URL and API key. Here's the best part: DeepSeek upgrades the model behind deepseek-chat without changing the enum. V3 → V3.2 was seamless, zero code changes. When V4 launches, your existing integration upgrades automatically.

Step 3 — Add fallbacks for launch week

New model launches often come with rate limits and instability. EvoLink handles this automatically — if DeepSeek V4 is throttled or returns errors, your requests fall back to V3 or Claude, keeping your pipeline running. No manual switching needed.

View API Docs

DeepSeek V4 vs Claude Opus 4.6 vs GPT-5.2

Pre-launch comparison based on leaked or reported figures.

	DeepSeek V4	Claude Opus 4.6	GPT-5.2
SWE-bench Verified	>80% (leaked)	Up to 81.42%	80.0% (Thinking)
HumanEval	~90% (leaked)	~88%	—
Context	1M+ (reported)	200K (1M beta)	400K
Input / 1M tokens	TBA (V3: $0.278)	$4.25	$1.40
Output / 1M tokens	TBA (V3: $0.417)	$21.25	$11.20
Self-hosting	Dual 4090s (reported)	No	No

Full comparison: DeepSeek V4 vs Claude vs GPT →

FAQ

Everything you need to know about the product and billing.

DeepSeek V4 has not launched yet as of March 2026. Community consensus points to early March. EvoLink will add it within hours of release. Follow our release tracker for real-time updates.

Pricing has not been announced. DeepSeek V3 is currently $0.278/$0.417 per 1M tokens — 10-15x cheaper than Claude Opus. If V4 follows DeepSeek's pricing philosophy, expect frontier coding performance at competitive rates.

Leaked benchmarks suggest V4 matches Claude Opus on SWE-bench Verified (~80%+) and may lead on HumanEval (~90% vs ~88%). These numbers are unverified. Real-world performance depends on your stack — run your own evals when V4 launches.

Reports suggest V4 is designed for dual RTX 4090s or a single RTX 5090. DeepSeek has open-sourced previous models (V2, V3, R1), so local deployment is plausible. For managed access, EvoLink handles hosting and scaling.

Yes. Change the model ID in your API call — authentication, endpoint, and billing all stay the same.

DeepSeek's consumer chatbot supports >1M tokens as of Feb 11, 2026. Whether the V4 API exposes the same context length has not been confirmed. The official V3 API is still 128K.

GPT-5.2 Thinking scores 80.0% on SWE-bench Verified with a 400K context window at $1.75/$14.00 per 1M tokens (official). DeepSeek V4's leaked benchmarks are in the same range but at potentially much lower cost. See our full comparison for details.

Sign up at evolink.ai/signup. Your EvoLink API key works with all models including DeepSeek V4 — no separate key needed. One key, one endpoint, all models.

DeepSeek's chatbot upgraded to 1M tokens on Feb 11, 2026. Whether the V4 API exposes the full 1M context is unconfirmed — the V3 API is still 128K. We'll update this page when V4's API spec is published.

DeepSeek has open-sourced all major previous models (V2, V3, R1). If V4 follows the same pattern, open weights are likely. Self-hosting reportedly requires dual RTX 4090s or a single RTX 5090. For managed access without hardware investment, use EvoLink.