DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with a 1M-token context window, built for advanced reasoning, coding, long-horizon agent workflows, knowledge, math, and software engineering tasks.
Added Apr 24, 2026
Model weightsContext Window
1.0M
Max Output
384.0K
Avg output tokens (7d)
1.0K tokens
Input Price (Auto)
$1.16/1M
Output Price (Auto)
$2.31/1M
Cache Read (Auto)
$0.12/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
44.3
Coding Index
59.4
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
88.8%
Better than 94% of models compared
HLE
Humanity's Last Exam
35.9%
Better than 96% of models compared
IFBench
Instruction-following benchmark
76.5%
Better than 95% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
96.2%
Better than 97% of models compared
AA-LCR
Long context reasoning evaluation
66.3%
Better than 88% of models compared
CritPt
Research-level physics reasoning
0.9%
Coding
SciCode
Python programming for scientific computing
50.0%
Better than 95% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
46.2%
Better than 94% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
30.9%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
87.8%
Last updated Jun 28, 2026
Artificial AnalysisProviders
Choose explicit providers for this model. Auto routing remains available as the default option.
Loading provider options…
Related text models
Compare DeepSeek V4 Pro with similar models from the same provider or model family.
DeepSeek V4 Pro 0813
deepseek/deepseek-v4-pro-0813DeepSeek V4 Pro 0813 is the general-availability release of DeepSeek V4 Pro, built for coding, tool use, cybersecurity, automation, and long-horizon agent workflows. DeepSeek reports strong gains over the preview and scores above Opus 4.8 on Terminal Bench 2.1, Cybergym, DeepSWE, and AutomationBench. It supports a 1M-token context window.
DeepSeek V4 Pro 0813 Thinking
deepseek/deepseek-v4-pro-0813:thinkingDeepSeek V4 Pro 0813 Thinking enables reasoning by default on the general-availability release of DeepSeek V4 Pro, built for coding, tool use, cybersecurity, automation, and long-horizon agent workflows. DeepSeek reports strong gains over the preview and scores above Opus 4.8 on Terminal Bench 2.1, Cybergym, DeepSWE, and AutomationBench. It supports a 1M-token context window.
DeepSeek V4 Pro (Thinking)
deepseek/deepseek-v4-pro:thinkingDeepSeek V4 Pro Thinking enables DeepSeek's chain-of-thought mode on the large-scale Mixture-of-Experts model with a 1M-token context window, built for advanced reasoning, coding, long-horizon agent workflows, knowledge, math, and software engineering tasks.
DeepSeek V4 Flash Latest
deepseek/deepseek-v4-flash-latestCompatibility alias that routes to the newest dated DeepSeek V4 Flash release. Currently uses Fireworks first for DeepSeek V4 Flash 0731, with automatic failover when needed. ⚠️ Privacy and logging guarantees are limited.
DeepSeek V4 Flash 0731 (Thinking)
deepseek/deepseek-v4-flash-0731:thinkingDeepSeek V4 Flash 0731 Thinking enables reasoning by default on the re-post-trained Mixture-of-Experts model with a 1M-token context window, built for coding, reasoning, and agent workflows.
DeepSeek V4 Flash 0731
deepseek/deepseek-v4-flash-0731DeepSeek V4 Flash 0731 is a re-post-trained Mixture-of-Experts model with a 1M-token context window, built for coding, reasoning, and agent workflows.