DeepSeek · model passport
DeepSeek V3 1 Terminus Thinking
deepseek-v3-1-terminus-thinking- Open weights
- MIT licence
- Released 2026-10-15(first seen on LMArena)
- Overall · LMArena
- 1,416#125 of 396
- Best percentile
- 84.9LiveBench
- Cohort standing
- 64.7median 60.6
What the data says
Benchmarked on 5 of 27 tracked axes. Every figure below is the model's own published result on that board.
Uneven: 17.1 percentile points between its best and worst axis — 84.9 pct on LiveBench versus 67.8 pct on Coding.
- LiveBench84.9 pct71.4%Verify →
- Instruction following74.2 pct1,418Verify →
- Hard prompts71.7 pct1,444Verify →
- Overall68.7 pct1,416Verify →
- Coding67.8 pct1,460Verify →
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- GPQA DiamondNot benchmarked
- AIME (math)Not benchmarked
- FrontierMathNot benchmarked
- SimpleQA VerifiedNot benchmarked
- ARC-AGI-2Not benchmarked
- Humanity's Last ExamNot benchmarked
- SimpleBenchNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- Terminal-Bench 4.0Not benchmarked
- MMLU-Pro (Artificial Analysis)Not benchmarked
- LiveCodeBench (Artificial Analysis)Not benchmarked
- IFBench (Artificial Analysis)Not benchmarked
- HHEM Hallucination (Vectara)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.
deepseek-v3.1-terminus-thinking stands at 64.7 (raw mean 73.5) — measured on 5 of 27 axes.
deepseek-v3.1-terminus-thinking stands at 64.7 versus a cohort median of 60.6 across 169 models released within 180 days — above the peer median.
deepseek-v3.1-terminus-thinking ranks between #97 and #137 across 5 built-in weightings — best under "Coding-focused", worst under "Reasoning".
Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →