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)
471 tokens
Input Price (Auto)
$1.10/1M
Output Price (Auto)
$2.20/1M
Cache Read (Auto)
$0.11/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
36.3
Coding Index
68.8
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
56.7%
Better than 84% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
25.9%
Better than 46% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1265 Elo
Better than 73% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1493 Elo
Better than 86% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.4%
Better than 53% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
80.3%
Better than 91% of models compared
Reasoning
HLE
Humanity's Last Exam
41.0%
Better than 92% of models compared
IFBench
Instruction-following benchmark
45.8%
Better than 53% of models compared
CritPt
Research-level physics reasoning
0.9%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
14.1%
Better than 75% of models compared
SciCode
Python programming for scientific computing
51.0%
Better than 63% 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%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
92.8%
Better than 95% of models compared
Terminal-Bench Hard (legacy)
Agentic coding and terminal use
36.4%
Better than 84% of models compared
T²-Bench Telecom (legacy)
Conversational AI agents in dual-control scenarios
91.2%
Better than 86% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
80.3%
Better than 91% of models compared
Last updated Sep 9, 2026
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