DeepSeek 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.
Added Apr 24, 2026
Model weightsContext Window
1M
Max Output
384K
Avg output tokens (7d)
1.4K tokens
Input Price (Auto)
$0.70/1M
Output Price (Auto)
$1.40/1M
Cache Read (Auto)
$0.070/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
36.0
Coding Index
68.8
Agentic Index
41.3
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
56.7%
Better than 79% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1258 Elo
Better than 67% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1441 Elo
Better than 81% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
11.4%
Better than 46% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
80.3%
Better than 88% of models compared
MLCR-AA
Medical long-context reasoning
17.8%
Better than 61% of models compared
Reasoning
HLE
Humanity's Last Exam
41.0%
Better than 89% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
14.1%
Better than 69% of models compared
SciCode
Python programming for scientific computing
51.0%
Better than 58% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
92.8%
Better than 95% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
80.3%
Better than 88% of models compared
Last updated Sep 29, 2026
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