Mistral · model passport
Ministral 8b 2410
ministral-8b-2410- Open weights
- MRL licence
- Released 2024-10-01(from model name)
- Overall · LMArena
- 1,238#306 of 396
- Best percentile
- 67.6HHEM Hallucination (Vectara)
- Cohort standing
- 34.9median 38.4
What the data says
Benchmarked on 6 of 27 tracked axes. Every figure below is the model's own published result on that board.
Weakest axes
- 6.8 pct — GPQA Diamond (27.1%)
Uneven: 60.8 percentile points between its best and worst axis — 67.6 pct on HHEM Hallucination (Vectara) versus 6.8 pct on GPQA Diamond.
- HHEM Hallucination (Vectara)67.6 pct92.6%Verify →
- Hard prompts23.2 pct1,251Verify →
- Overall23 pct1,238Verify →
- Coding22 pct1,274Verify →
- Instruction following21.7 pct1,211Verify →
- GPQA Diamond6.8 pct27.1%Verify →
- WebDev ArenaNot benchmarked
- Vision ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot 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
- MMLU-Pro (Artificial Analysis)Not benchmarked
- LiveCodeBench (Artificial Analysis)Not benchmarked
- IFBench (Artificial Analysis)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.
ministral-8b-2410 stands at 34.9 (raw mean 27.4) — measured on 6 of 27 axes.
ministral-8b-2410 stands at 34.9 versus a cohort median of 38.4 across 135 models released within 180 days — below the peer median.
ministral-8b-2410 scores at percentile 6.8 on GPQA Diamond.
ministral-8b-2410 ranks between #308 and #727 across 5 built-in weightings — best under "Coding-focused", 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 →