Code repair
Debug failing routes, review patches, reason across files, and explain root causes before changing code.
DeepSeek V4 Pro - Flagship DeepSeek V4 Reasoning
The high-ceiling model in the DeepSeek V4 lineup. Use it for coding, multi-step reasoning, agent planning, long analysis, and tasks where a wrong answer costs more than extra credits.
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ThinkingDeepSeek-V4-Pro is ready
DeepSeek-V4-Pro is the default model for this page. Flagship DeepSeek V4 model for hard reasoning, coding, long-context analysis, and agentic tasks.
Pick Flash or Pro, enable web search or thinking when needed, then start with a real prompt.
Flagship
Reasoning
Coding
Agentic
Starter prompts
Context
1M
Scale
1.6T / 49B active
Output
64K
Best Fit
Hard reasoning
Switch DeepSeek V4 model
Use Pro when the quality ceiling matters more than token cost or latency.
Overview
Where DeepSeek V4 Pro fits
DeepSeek V4 Pro is the flagship V4 path: 1.6T total parameters, 49B active parameters, and a 1M context window through the DeepSeek API. It is the safer choice for hard prompts, complex code, and final synthesis.
1M context window
Keep long documents, logs, requirements, and chat history in a single session.
Higher reasoning ceiling
Pro leads the public V4 snapshot on MMLU-Pro, LiveCodeBench, and SWE Verified.
Best for escalation
Route difficult or user-visible answers to Pro after cheaper first-pass work is done.
DeepSeek V4 Pro vs GPT, Claude, Gemini, Kimi and GLM
DeepSeek V4 Pro is compared here against leading frontier and reasoning models across general reasoning, coding, software engineering, browsing, and tool-use benchmarks.
Model
MMLU-Pro
SimpleQA
GPQA
LiveCodeBench
TerminalBench
SWEVerified
SWEPro
BrowseComp
MCPAtlas
Toolathlon
DeepSeek V4 Pro
MaxFlagship V4 path with strong coding, agentic, browsing, and tool-use scores.
Use Pro when quality risk is more expensive than latency or cost.
MMLU-Pro
87.5
SimpleQA
57.9
GPQA
90.1
LiveCodeBench
93.5
Terminal Bench
67.9
SWE Verified
80.6
SWE Pro
55.4
BrowseComp
83.4
MCPAtlas
73.6
Toolathlon
51.8
Gemini 3.1 Pro
HighStrong general-reasoning competitor with high SimpleQA and GPQA scores.
External frontier baseline.
MMLU-Pro
91.0
SimpleQA
75.6
GPQA
94.3
LiveCodeBench
91.7
Terminal Bench
68.5
SWE Verified
80.6
SWE Pro
54.2
BrowseComp
85.9
MCPAtlas
69.2
Toolathlon
48.8
Claude Opus 4.6
MaxStrong coding and software-engineering baseline.
External frontier baseline.
MMLU-Pro
89.1
SimpleQA
46.2
GPQA
91.3
LiveCodeBench
88.8
Terminal Bench
65.4
SWE Verified
80.8
SWE Pro
57.3
BrowseComp
83.7
MCPAtlas
73.8
Toolathlon
47.2
GPT-5.4
xHighReasoning-heavy baseline with strong terminal, browsing, and tool-use results.
- means the source table did not report the score.
MMLU-Pro
87.5
SimpleQA
45.3
GPQA
93.0
LiveCodeBench
-
Terminal Bench
75.1
SWE Verified
-
SWE Pro
57.7
BrowseComp
82.7
MCPAtlas
67.2
Toolathlon
54.6
Kimi K2.6
ThinkingCompetitive coding and agentic-task comparison point.
External reasoning baseline.
MMLU-Pro
87.1
SimpleQA
36.9
GPQA
90.5
LiveCodeBench
89.6
Terminal Bench
66.7
SWE Verified
80.2
SWE Pro
58.6
BrowseComp
83.2
MCPAtlas
66.6
Toolathlon
50.0
GLM-5.1
ThinkingChina-frontier baseline for reasoning, browsing, and tool tasks.
- means the source table did not report the score.
MMLU-Pro
86.0
SimpleQA
38.1
GPQA
86.2
LiveCodeBench
-
Terminal Bench
63.5
SWE Verified
-
SWE Pro
58.4
BrowseComp
79.3
MCPAtlas
71.8
Toolathlon
40.7
DeepSeek V4 Flash
MaxEfficient DeepSeek V4 route that stays close to Pro on coding and software tasks.
Use Flash for cheaper first-pass work before escalating to Pro.
MMLU-Pro
86.2
SimpleQA
34.1
GPQA
88.1
LiveCodeBench
91.6
Terminal Bench
56.9
SWE Verified
79.0
SWE Pro
52.6
BrowseComp
73.2
MCPAtlas
69.0
Toolathlon
47.8
Values follow the official DeepSeek V4 model-card tables. Use them as routing hints, not a substitute for your own production evals.
Updated 2026-04-24Use Cases
What DeepSeek V4 Pro is good at
Best for tasks where careful reasoning is worth the extra cost.
Long analysis
Read long specs, logs, transcripts, or research notes and produce structured conclusions.
Agent planning
Break down multi-step work, choose tools, surface risks, and prepare implementation plans.
Final synthesis
Use Pro after Flash has gathered context when the final answer needs higher reliability.
Hard comparisons
Compare APIs, papers, benchmarks, or competing models with more careful tradeoff reasoning.
Technical writing
Turn raw notes into clear technical reports, migration plans, and decision records.
FAQ
DeepSeek V4 Pro FAQ
Quick answers about DeepSeek V4 Pro.
What is the DeepSeek V4 Pro API model ID?
Use deepseek-v4-pro.
How large is DeepSeek V4 Pro?
The official materials list 1.6T total parameters and 49B active parameters.
What context length does Pro support?
The DeepSeek API pricing table lists a 1M context window for DeepSeek V4 Pro.
How is Pro priced?
The current pricing page lists cache-hit input at $0.145, cache-miss input at $1.74, and output at $3.48 per 1M tokens.
When should I use Flash instead?
Use Flash when speed, throughput, and token cost matter more than the highest reasoning ceiling.
Does Pro work with Thinking?
Yes. D-Chat can enable Thinking for harder prompts that benefit from deeper reasoning.