More efficient long context
Hybrid attention makes reasoning over million-token materials more affordable—suited to full-repo and long-spec jobs.
DeepSeek · V4 Pro · Apr 2026
무료Flagship V4 MoE for hard-constraint reasoning, full-repo coding, and long multi-step tool jobs — free to try in iMini Agent.
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 this site we help you open it inside a free online AI Agent on iMini.
DeepSeek V4 Pro is the flagship of the DeepSeek V4 family released in April 2026. It is a Mixture-of-Experts model with roughly 1.6T total parameters and about 49B activated per token, paired with a 1M-token context window and a hybrid attention design that keeps long-context inference affordable.
Reasoning effort is a request parameter rather than a separate model. Simple prompts can skip thinking entirely; hard prompts can open Think High or Think Max, which is where Pro posts its strongest agentic and coding results.
Pro is the tier you reach for when the failure cost is high: cross-file refactors that must compile, derivations that must hold under explicit constraints, and long tool-calling runs that need to stay on goal for many steps without drifting.
Long-context efficiency, Think depth, and long-job completion—the changes to check before making it your primary pick.
Hybrid attention makes reasoning over million-token materials more affordable—suited to full-repo and long-spec jobs.
Hard tasks can open a larger thinking budget; simple tasks can skip thinking—so depth isn’t one-size-fits-all.
Better suited to cross-file coding and multi-step tool work—holding the goal through to a deliverable result.
Use iMini Agent first for real tasks; later connect Codex, Claude Code or OpenClaw with our DeepSeek guides.
Scores from the DeepSeek-V4 technical report, covering agentic coding, long-context retrieval, and head-to-head human evaluation.
80.6%
Real-world GitHub issue resolution — the headline agentic coding result for V4 Pro.
67.9%
Terminal-style agent tasks that require multi-step tool use to reach a result.
3206
Competitive programming rating, a proxy for hard algorithmic reasoning.
86.52
Pro-Max five-dimension human rating vs Claude Opus 4.6-Max at 84.06.
>0.90
Retrieval accuracy at most points before 128K, still about 0.59 at the full 1M context.
$0.44 / $0.87
Per 1M tokens — frontier-tier quality at a fraction of typical flagship pricing.
Sources: DeepSeek-V4 technical report (arXiv:2606.19348) and published DeepSeek API pricing. Scores shift with reasoning effort — Non-Think, Think High and Think Max are not one number.
DeepSeek V4 Pro fits hard-constraint reasoning, full-repo coding, and multi-step jobs that need to run for a long time.
For cross-file features, refactors, and test fixes. Open higher Think when needed.
For math, logic, and derivation under explicit rules. Keep steps checkable.
For continuous tool calls that advance step by step to a result. Agree on success criteria first.
You do not need a DeepSeek API key to test Pro. Open it inside iMini Agent, hand it a genuinely hard task, and judge the plan quality yourself.
No API key, no local CLI, no config file. Open the agent and describe the goal.
Pro is built to hold a goal across many tool calls — the kind of task a chatbot abandons halfway.
Move routine passes to V4 Flash in the same session and keep Pro for the hard parts.
Both are the flagship reasoning tier of their family, aimed at long-horizon agentic work where correctness matters more than cost.
| Criterion | DeepSeek V4 Pro | GPT-5.6 Sol |
|---|---|---|
| Released | Apr 2026 | Jul 2026 |
| Context window | 1M tokens | 1.05M tokens |
| Reasoning modes | Non-Think / Think High / Think Max | Up to max and ultra (parallel subagents) |
| API price (in/out per 1M) | $0.44 / $0.87 | $5.00 / $30.00 |
| Weights | Open, MIT licensed | Closed, API only |
| Agentic coding | SWE-bench Verified 80.6% | Agents' Last Exam 53.6 (new high) |
| Best when | Full-repo coding and hard reasoning on a budget | You are already on the OpenAI stack and want ultra mode |
Sol is the deeper option on OpenAI's own long-horizon evals and adds ultra mode with parallel subagents, but it costs roughly ten times more per token. V4 Pro answers with open weights, comparable agentic coding scores, and pricing that makes long runs practical. Try Pro free in iMini Agent and compare it against your current flagship on a task you already know well.
Free try iMini Agent →Both share a 1M context window. The gap is mainly ceiling vs throughput—pick by task, not by brand loyalty.
| Criterion | DeepSeek V4 Flash | DeepSeek V4 Pro |
|---|---|---|
| Context | 1M tokens | 1M tokens |
| Reasoning | Flash-Max available | Think High / Max |
| Coding & agents | High-throughput coding | Complex coding & long-horizon agents |
| Long-horizon tools | Better for short-to-mid | Long-horizon automation posture |
| Speed posture | Throughput first | Favors finish quality |
| Prefer when | High-turnaround DeepSeek work | Code & hard-reasoning flagship |
Also see DeepSeek V4 Flash
Three steps to run this DeepSeek V4 model in a free online agent—no DeepSeek API key required.
Click the button to launch the free online agent in your browser.
Select Flash for throughput/cost or Pro for deeper reasoning inside the agent.
Let the agent plan, call tools, and deliver — iterate with follow-ups as needed.
Free quota, model naming, key specs, and how Flash differs from Pro.
Million-token context; deepen Think when needed—suited to hard-constraint reasoning and full-repo coding.
Online Agent is provided via iMini. This site is an independent guide and is not affiliated with DeepSeek.