Private AI
DeepSeek-V3.1 is a hybrid model that supports both thinking mode and non-thinking mode. It does better at tool calling and agent tasks, and has higher thinking efficiency than its predecessor. This is the non-thinking version. Quantized at FP8.
Added Jul 26, 2025
Model weightsContext Window
128.0K
Max Output
65.5K
Avg output tokens (7d)
814 tokens
Input Price (Auto)
$0.21/1M
Output Price (Auto)
$0.73/1M
Cache Read (Auto)
$0.11/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
21.0
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GPQA Diamond
Graduate-level scientific reasoning
73.5%
Better than 60% of models compared
HLE
Humanity's Last Exam
6.3%
Better than 47% of models compared
IFBench
Instruction-following benchmark
37.8%
Better than 32% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
34.8%
Better than 43% of models compared
AA-LCR
Long context reasoning evaluation
45.0%
Better than 55% of models compared
SciCode
Python programming for scientific computing
36.7%
Better than 61% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
24.2%
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 Jul 13, 2026
Artificial AnalysisBetter than 64% of models compared
LiveCodeBench
Contamination-free coding benchmark
57.7%
Better than 64% of models compared
