DeepSeek V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
Context Window
164.0K
Max Output
8.2K
Input Price (Auto)
$1.00/1M
Output Price (Auto)
$2.50/1M
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
28.1
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Coding Index
28.4
GPQA Diamond
Graduate-level scientific reasoning
73.5%
Better than 68% of models compared
HLE
Humanity's Last Exam
6.3%
Better than 56% of models compared
IFBench
Instruction-following benchmark
37.8%
Better than 39% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
34.8%
Better than 50% of models compared
AA-LCR
Long context reasoning evaluation
45.0%
Better than 63% of models compared
SciCode
Python programming for scientific computing
36.7%
Better than 71% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
24.2%
Better than 72% of models compared
AIME 2025
American Invitational Mathematics Examination 2025
49.7%
Better than 48% of models compared
MMLU-Pro
Professional and academic subject knowledge
83.3%
Better than 84% of models compared
Last updated May 15, 2026
Artificial AnalysisLiveCodeBench
Contamination-free coding benchmark
57.7%
Better than 64% of models compared
