DeepSeek V4 Flash API

DeepSeek V4 Flash is the fast general-purpose tier of the V4 series. 1M-token context, optional thinking mode, and an order of magnitude lower cost than Claude Sonnet — callable via OpenAI or Anthropic endpoints on EvoLink.

Model Type:

Price:

$0.147(~ 10 credits) per 1M input tokens; $0.294(~ 20 credits) per 1M output tokens

$0.0029(~ 0.2 credits) per 1M cache read tokens

Highest stability with guaranteed 99.9% uptime. Recommended for production environments.

Use the same API endpoint for all versions. Only the model parameter differs.

DeepSeek V4 Flash — Fast Coding with 1M Context

Name: EvoLink AI Model API Platform
Brand: EvoLink
Availability: InStock

Flash is the default fast tier of DeepSeek V4: coding-tuned quality at a fraction of Claude Sonnet or GPT-5.4 cost. 1M-token context, optional thinking mode, and both OpenAI and Anthropic endpoints — call whichever SDK your stack already uses.

PRICING

PLAN	CONTEXT WINDOW	MAX OUTPUT	INPUT	OUTPUT	CACHE READ
DeepSeek V4 Flash	1,000,000	384,000	$0.147 (10 Credits)	$0.294 (20 Credits)	$0.003 (0.20 Credits)

Pricing Note: Prices show both USD and Credits. Units default to / 1M tokens unless noted separately.

Cache Hit: Price applies to cached prompt tokens.

What is the DeepSeek V4 Flash API?

Production-ready fast tier of the DeepSeek V4 series, OpenAI- and Anthropic-compatible.

Tier

Fast tier of V4 family

Flash is DeepSeek V4's fast general-purpose tier, benchmarked for coding and long-context tasks. Use it when you want close to Pro's quality at a fraction of the latency and cost.

Context

1M-token context

Flash exposes a 1M-token context window — enough to ingest entire repositories, long documentation, or multi-turn agent traces in a single call.

Cache

Cache-aware pricing

DeepSeek V4 caches prompt prefixes automatically. Hitting cache drops input cost to 20% of the base rate — ideal for agent loops that repeat system prompts or tool schemas.

What can you build with DeepSeek V4 Flash?

High-throughput code completion

Flash's low latency and aggressive pricing make it ideal for in-IDE autocomplete, inline suggestions, and CI-time code review. Scale to millions of requests without blowing through your budget.

DeepSeek V4 Flash code completion use case

Long-context code analysis

With 1M tokens of context, Flash can ingest entire small-to-medium repositories in a single call. Great for architecture reviews, dependency audits, and migration planning when you don't need Pro's reasoning depth.

Cost-efficient batch processing

Flash's low base rate combined with automatic prefix caching (80% off on cached tokens) makes large-scale test generation, summarization, and documentation 10-15x cheaper than equivalent Claude or GPT workloads.

Why call DeepSeek V4 Flash through EvoLink

Dual-endpoint (OpenAI + Anthropic), day-one availability, automatic fallbacks, and unified billing — one API key for Flash, Pro, Claude, and GPT.

OpenAI and Anthropic endpoints

Flash is exposed at both /v1/chat/completions (OpenAI) and /v1/messages (Anthropic). Use whichever SDK your stack already uses — no migration needed to trial a new model.

Automatic fallbacks

If Flash hits a rate limit, EvoLink can fall back to Pro, Claude, or GPT based on your config. Your pipeline keeps running without manual switching.

A/B test across vendors

One API key gives you Flash, Pro, Claude, and GPT. Run identical coding tasks across all tiers and compare quality, latency, and cost on your actual codebase.

How to integrate DeepSeek V4 Flash

Change one model ID — no new SDK, no new endpoint, no new billing.

Step 1 — Get your API key

Sign up at evolink.ai/signup. Your EvoLink key works with Flash, Pro, Claude, GPT, and 200+ other models. 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 pass model: "deepseek-v4-flash". Fully OpenAI SDK-compatible — if you've used openai.chat.completions.create(...), just swap the base URL. Prefer Anthropic style? Call /v1/messages with model: "deepseek-v4-flash" and the x-api-key header — the exact same model.

Step 3 — Enable thinking when you need it

Flash ships with thinking mode off by default for speed. Turn it on per-request with thinking: {"type": "enabled"} when you need stronger reasoning — same model, no code switching.

View API Docs

DeepSeek V4 Flash & Pro vs Claude Opus 4.7 vs GPT-5.4

A practical API comparison for teams choosing a low-cost default route, a premium escalation route, or a flagship closed-model baseline.

Role	DeepSeek V4 Flash	DeepSeek V4 Pro	Claude Opus 4.7 / GPT-5.4
Best fit	Low-cost default route	Premium escalation route	Closed-model flagship baseline
Input pricing	$0.14 / 1M	$0.44 / 1M	$5.00 / $2.50 per 1M
Output pricing	$0.28 / 1M	$0.88 / 1M	$25.00 / $15.00 per 1M
Context	1M	1M	200K / 1,050K
Max output	384K	384K	32K / 128K
Best use case	High-volume coding and routing	Harder coding and reasoning tasks	Top-end quality and enterprise fallback

Full comparison: DeepSeek V4 vs Claude vs GPT →

FAQ

Everything you need to know about the product and billing.

Flash is the default fast tier of the DeepSeek V4 series. It targets high-throughput coding, summarization, and agent workloads with optional thinking mode and 1M-token context.

Use Flash for latency-sensitive or high-volume workloads (autocomplete, batch analysis, chatbots). Use Pro when you need deep reasoning, complex debugging, or architecture planning. Both live under the same EvoLink API key — mix them per-request.

Yes. Thinking is off by default for speed. Enable it per-request with thinking: {"type": "enabled"} in the request body. Pro has thinking on by default.

Yes. EvoLink exposes Flash at both /v1/chat/completions (OpenAI) and /v1/messages (Anthropic). Same model ID, same API key — pick whichever SDK matches your stack.

DeepSeek caches prompt prefixes automatically. When a request hits cache, the cached portion is billed at 20% of the normal input rate. No setup needed — just reuse the same system prompt or tool schema across calls.

1M tokens (≈1,048,576). Max output is 384K tokens.

Flash targets close-to-Sonnet-4.6 coding quality at roughly one-tenth the cost per token. For benchmark-sensitive workloads, run both under one EvoLink key and compare on your own evals.

Yes. EvoLink auto-scales through multiple DeepSeek channels and falls back to alternate models if upstream is throttled. See your dashboard for per-minute and per-day limits by tier.

Yes. Same key, same billing. Change the model ID in your request and you're done.

DeepSeek has open-sourced all major previous models. Check DeepSeek's official repo for V4 weights if you want to self-host; EvoLink handles managed access otherwise.