Mistral · model passport
Devstral Medium
devstral-medium- Cloud only
- Proprietary licence
- Released 2026-10-16(first seen on LMArena)
- Best percentile
- 44.3LiveCodeBench (Artificial Analysis)
- Cohort standing
- 36.4median 60.8
What the data says
Benchmarked on 4 of 27 tracked axes. Every figure below is the model's own published result on that board.
Weakest axes
- 1.4 pct — WebDev Arena (1,071)
Uneven: 42.9 percentile points between its best and worst axis — 44.3 pct on LiveCodeBench (Artificial Analysis) versus 1.4 pct on WebDev Arena.
- LiveCodeBench (Artificial Analysis)44.3 pct33.7%Verify →
- MMLU-Pro (Artificial Analysis)42.7 pct70.8%Verify →
- IFBench (Artificial Analysis)16 pct29.9%Verify →
- WebDev Arena1.4 pct1,071Verify →
- OverallNot 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
- LiveBenchNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- Terminal-Bench 4.0Not benchmarked
- HHEM Hallucination (Vectara)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
- CodingNot benchmarked
- Instruction followingNot benchmarked
- Hard promptsNot 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.
Devstral Medium (2507) stands at 36.4 (raw mean 26.1) — measured on 4 of 27 axes.
Devstral Medium (2507) stands at 36.4 versus a cohort median of 60.8 across 168 models released within 180 days — below the peer median.
Devstral Medium (2507) scores at percentile 1.4 on WebDev Arena.
Devstral Medium (2507) ranks between #158 and #925 across 4 built-in weightings — best under "Agentic", worst under "All sources".
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 →