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
1.0M
Max Output
384.0K
Avg output tokens (7d)
2.1K 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
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
Last updated Jun 28, 2026
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