DeepSeek V3.1 Terminus
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.
- Tool Calling
- Structured Output
Added Aug 2, 2025
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.25
- Output
- $0.70
Specifications
- Context window
- 128K
- Max output
- 65.5K
- Parameters
- 671B / 37B
- Total / active
- Avg output (7d)
- 365 tokens
- Longer than 34% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
13.9
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
37.1%
Better than 45% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
45.3%
Better than 41% of models compared
Reasoning
HLE
Humanity's Last Exam
8.7%
Better than 47% of models compared
IFBench
Instruction-following benchmark
41.2%
Better than 41% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · Agentic coding and terminal use
31.8%
Better than 75% of models compared
LiveCodeBench
Contamination-free coding benchmark
52.9%
Better than 60% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
53.7%
Better than 50% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
83.6%
Better than 85% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
75.1%
Better than 57% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
45.3%
Better than 41% of models compared
Last updated Oct 3, 2026
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