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DeepSeek · V4 Flash · Apr 2026

DeepSeek V4 Flash — an everyday coding model that balances speed and efficiency

  • Million-token context
  • Faster reasoning posture
  • Flash-Max can deepen
  • Suited to high-turnaround loads
DeepSeek V4 Flash

What is DeepSeek V4 Flash?

DeepSeek V4 Flash is DeepSeek’s efficiency-oriented V4 model from April 2026—aimed at high-throughput coding, chat, and short-to-mid agents. Versus V3.2 and the heavier V4 Pro, it puts speed and cost first; with a larger thinking budget, Flash-Max can approach Pro on some reasoning tasks. On iMini Agent, pick DeepSeek V4 Flash to use it.

Vendor
DeepSeek
Released
Apr 2026
Context
1M tokens
Max output
Per platform limit
Deep thinking
Flash-Max available
Best as
High-turnaround DeepSeek primary

Where it stands out

Throughput, same-architecture long context, and deepen-able Flash-Max—the boundaries to check before picking the efficiency-oriented option.

Faster in the same family

Aimed at high-concurrency chat and coding—moving lots of short-to-mid requests off Pro.

Still million-token context

Same long-context tier as Pro, so short-turn jobs can still carry longer materials.

Flash-Max can approach Pro

With a larger thinking budget, some reasoning results can approach Pro—suited to fast-then-deep pipelines.

Familiar API shapes

The official API offers common chat-format compatibility—easier to migrate existing integrations to V4 Flash.

Official evaluations

Flash-related scores from the DeepSeek-V4 technical report: Pro/Flash positions on main benchmarks, long-context retrieval, and reasoning intensity on the same boards.

DeepSeek-V4 family main score and efficiency chart (including Flash)
Family main score and efficiency chart. The right-side efficiency curves separate Flash from Pro: at 1M context vs V3.2, Flash cuts FLOPs ~9.8× and KV Cache ~13.7×—suited to everyday agents that need to keep long-context cost down.
MRCR 8-needle: DeepSeek-V4-Flash-Max long-context retrieval
MRCR 8-needle. Flash-Max sits ~0.84–0.91 at most points before 128K and 0.49 at 1M—below Pro-Max overall, but still covering a long retrieval span. When picking Flash, trade off against expected context length.
DeepSeek-V4-Flash performance across reasoning-intensity levels
Flash across reasoning intensities. Higher intensity lifts hard-problem scores but also latency and tokens; everyday coding and short jobs usually don’t need Max.

Three common workflows

DeepSeek V4 Flash fits high-turnaround work where failure cost is relatively controllable.

High-throughput coding

For everyday features and quick fixes. Step up to V4 Pro for the heaviest long-horizon jobs.

Chat and drafts

For Q&A, explanatory drafts, and formatted output.

Short-to-mid agents

For tool calls with clear steps. Switch to Pro when you need top-tier reasoning.

How to choose vs DeepSeek V4 Pro and Gemini 3.6 Flash

All three lean efficiency or Flash. The gap is mainly DeepSeek’s Pro ceiling and Google multimodal.

CriterionDeepSeek V4 FlashDeepSeek V4 ProGemini 3.6 Flash
Context1M tokens1M tokens1M tokens
ReasoningFlash-Max availableThink High / MaxAdjustable thinking levels
Coding & agentsHigh-throughput codingComplex coding & long-horizon agentsMultimodal Flash coding
Long-horizon toolsBetter for short-to-midLong-horizon automation postureHigh-turnaround multimodal loops
Speed postureThroughput firstFavors finish qualityFaster, leaner output
Prefer whenHigh-turnaround DeepSeek workCode & hard-reasoning flagshipFlash work on the Google stack

Using DeepSeek V4 Flash on iMini

Free quota, model naming, key specs, and how it differs from Pro.

More models

More flagship models by vendor

GPT-5.6 SolOpenAI’s deepest flagship—for teams already on the GPT stack who need maximum depth.Claude Opus 5Anthropic’s Opus flagship—for long-horizon coding and multi-step agents on the Claude stack.Gemini 3.1 ProGoogle’s Gemini Pro tier—for multimodal, long-context work on the Google stack.Grok 4.5xAI’s Grok flagship—when you need Grok reasoning or the xAI product stack.Kimi K3Moonshot’s Kimi flagship—for bilingual long-context work and China-facing delivery.GLM 5.2Zhipu’s GLM flagship—for bilingual agents and Zhipu-stack delivery.Qwen3.7 MaxQwen Max—when you need Qwen’s peak reasoning.MiniMax M3MiniMax’s flagship—when you’re on the MiniMax product stack.Llama 4 MaverickMeta’s Llama 4 flagship option—when you need the Llama weight stack.Seed 2.0 LiteByteDance Seed’s lighter model—for high-turnaround, shorter-horizon jobs.
All models

Use DeepSeek V4 Flash free on iMini Agent

Million-token context, faster throughput—suited to everyday coding and chat.

Open DeepSeek V4 Flash

No DeepSeek API key required.