DeepSeek-V3.1-Terminus. The latest update builds on V3.1's strengths while addressing key user feedback. Language consistency improvements (fewer CN/EN mix-ups, no random chars), stronger Code Agent & Search Agent performance, and more stable, reliable outputs across benchmarks. FP8.
Added Aug 2, 2025
Context Window
128.0K
Max Output
65.5K
Input Price (Auto)
$0.26/1M
Output Price (Auto)
$0.73/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
28.5
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Coding Index
31.9
Agentic Index
28.6
GPQA Diamond
Graduate-level scientific reasoning
75.1%
Better than 71% of models compared
HLE
Humanity's Last Exam
8.4%
Better than 67% of models compared
IFBench
Instruction-following benchmark
41.2%
Better than 49% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
37.1%
Better than 53% of models compared
AA-LCR
Long context reasoning evaluation
43.3%
Better than 61% of models compared
GDPval-AA
Economically valuable tasks
23.8%
Better than 80% of models compared
CritPt
Research-level physics reasoning
0.0%
Better than 36% of models compared
SciCode
Python programming for scientific computing
32.1%
Better than 57% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
31.8%
Better than 82% of models compared
AIME 2025
American Invitational Mathematics Examination 2025
53.7%
Better than 51% of models compared
MMLU-Pro
Professional and academic subject knowledge
83.6%
Better than 85% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
23.4%
Better than 79% of models compared
Last updated May 15, 2026
Artificial AnalysisLiveCodeBench
Contamination-free coding benchmark
52.9%
Better than 60% of models compared
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
85.3%
Better than 38% of models compared
