DeepSeek 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.
Added Jul 31, 2026
Model weightsContext Window
1.0M
Max Output
131.1K
Avg output tokens (7d)
350 tokens
Input Price (Auto)
$0.14/1M
Output Price (Auto)
$0.28/1M
Cache Read (Auto)
$0.014/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
34.5
Coding Index
69.1
Agentic Index
41.7
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
54.0%
Better than 78% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1259 Elo
Better than 72% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1468 Elo
Better than 84% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.0%
Better than 49% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
79.7%
Better than 88% of models compared
Reasoning
HLE
Humanity's Last Exam
38.6%
Better than 90% of models compared
CritPt
Research-level physics reasoning
16.6%
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
12.1%
Better than 71% of models compared
SciCode
Python programming for scientific computing
50.3%
Better than 59% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
40.4%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
91.7%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
90.8%
Better than 91% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
79.7%
Better than 88% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
48.4%
Last updated Sep 9, 2026
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