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DeepSeek · V4 Pro · Apr 2026

DeepSeek V4 Pro — a flagship for deep reasoning and large-scale code engineering

  • Million-token context
  • Think High / Max available
  • Open weights for comparison
  • Suited to long coding jobs
DeepSeek V4 Pro

What is DeepSeek V4 Pro?

DeepSeek V4 Pro is DeepSeek’s V4 flagship from April 2026—built for hard-constraint reasoning, cross-file repo coding, and multi-step tool jobs that need to keep moving for a long time. Versus DeepSeek V3.2, long context is more efficient, and you can open Think High / Max for deeper thinking; for faster, lighter loads in the same family, look at V4 Flash. On iMini Agent, pick DeepSeek V4 Pro to use it.

Vendor
DeepSeek
Released
Apr 2026
Context
1M tokens
Max output
Per platform limit
Deep thinking
Think High / Max available
Best for
Hard reasoning & full-repo coding

What’s new versus DeepSeek V3.2

Long-context efficiency, Think depth, and long-job completion—the changes to check before making it your primary pick.

More efficient long context

Hybrid attention makes reasoning over million-token materials more affordable—suited to full-repo and long-spec jobs.

Think High / Max

Hard tasks can open a larger thinking budget; simple tasks can skip thinking—so depth isn’t one-size-fits-all.

More complete long coding jobs

Better suited to cross-file coding and multi-step tool work—holding the goal through to a deliverable result.

Open weights for comparison

Comparable open weights and preview materials support research and private evaluation; online, you can still use it directly on iMini.

Official evaluations

Scores and architecture figures from the DeepSeek-V4 technical report (arXiv:2606.19348)—covering knowledge reasoning, agents, long-text retrieval, and a human comparison against Claude Opus 4.6.

DeepSeek-V4-Pro-Max vs Opus 4.6, GPT-5.4, and Gemini 3.1 Pro on score and efficiency
Main score and efficiency chart. SWE Verified 80.6%, Terminal Bench 2.0 67.9%, Codeforces 3206; the right side shows vs V3.2, Pro cuts FLOPs ~3.7× and KV Cache ~9.5× at 1M context—read ability and long-context cost together.
Human rating comparison: DeepSeek-V4-Pro-Max vs Opus-4.6-Max
Five-dimension human ratings: task completion, instruction following, content quality, layout aesthetics, and overall. DeepSeek-V4-Pro-Max overall 86.52 vs Opus-4.6-Max 84.06; instruction following is slightly lower (87.76 vs 88.88).
Win rate of DeepSeek-V4-Pro-Max vs Opus-4.6-Max
Win-rate comparison against Claude Opus 4.6. Complements the absolute scores: which side wins more often in paired judgments.
MRCR 8-needle: DeepSeek-V4 Pro/Flash retrieval across context lengths
MRCR 8-needle long-context retrieval. Pro-Max stays above 0.90 at most points before 128K and is still 0.59 at 1M; Flash-Max follows the same shape but lower. Direct evidence that million-token context is usable—not just a labeled window.
DeepSeek-V4 performance across reasoning-intensity levels
How scores move across Non-Think / High / Max. Shows V4-Pro is not a single number: raise intensity and agent/hard-problem scores move with it—pick the level by task at deploy time.
Diagram of DeepSeek-V4 interleaved thinking and tool-call dialogue structure
Interleaved thinking and tool-call dialogue structure. The report uses it to show how V4 keeps thinking blocks and tool results across turns—mechanism for agent ability, not one benchmark score.

Three common workflows

DeepSeek V4 Pro fits hard-constraint reasoning, full-repo coding, and multi-step jobs that need to run for a long time.

Full-repo coding

For cross-file features, refactors, and test fixes. Open higher Think when needed.

Hard-constraint reasoning

For math, logic, and derivation under explicit rules. Keep steps checkable.

Long multi-step tool jobs

For continuous tool calls that advance step by step to a result. Agree on success criteria and stop conditions first.

How to choose vs DeepSeek V4 Flash and Gemini 3.1 Pro

All three are modern primary picks. The gap is mainly Pro vs Flash ceiling and product stack.

CriterionDeepSeek V4 ProDeepSeek V4 FlashGemini 3.1 Pro
Context1M tokens1M tokens1M tokens
ReasoningThink High / MaxLighter · Flash-Max can approachPro-tier thinking, adjustable
Coding & agentsComplex coding & long-horizon agentsHigh-throughput coding & chatMultimodal Pro coding
Long-horizon toolsLong-horizon automation postureFaster short-to-mid agentsMore complete multimodal orchestration
Speed postureFavors finish qualityFavors throughputFavors precision & modalities
Prefer whenCode & hard-reasoning flagshipHigh-turnaround DeepSeek workHard work on the Google stack

Using DeepSeek V4 Pro on iMini

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

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 Pro free on iMini Agent

Million-token context; deepen Think when needed—suited to hard-constraint reasoning and full-repo coding.

Open DeepSeek V4 Pro

No DeepSeek API key required.