Thinking enabled version of Deepseek V3.1. 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. Quantized at FP8.
Context Window
128.0K
Max Output
65.5K
Input Price (Auto)
$0.20/1M
Output Price (Auto)
$0.70/1M
Cache Read (Auto)
$0.10/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
20.7
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
77.9%
Better than 72% of models compared
HLE
Humanity's Last Exam
13.0%
Better than 74% of models compared
IFBench
Instruction-following benchmark
41.5%
Better than 43% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
37.4%
Better than 47% of models compared
AA-LCR
Long context reasoning evaluation
53.3%
Better than 65% of models compared
Coding
SciCode
Python programming for scientific computing
39.1%
Better than 73% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
25.0%
Better than 67% of models compared
LiveCodeBench
Contamination-free coding benchmark
78.4%
Better than 90% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
89.7%
Better than 90% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
85.1%
Better than 91% of models compared
Last updated Jun 28, 2026
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