ministral-8b-2410: benchmark scores, price and ranking

ministral-8b-2410 from Mistral AI ranks #703 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.6), based on 2 benchmark results captured up to 2026-10-13.

Organisation
Mistral AI
Type
Frontier model
Open weights
No
Released
2024-10-16 (source: epoch)
Aggregate rank
#703 of 743 (score 42.6)

Across the 2 benchmarks where at least ten models are scored, ministral-8b-2410 is in the top 10% on 0 and in the top half on 0.

ministral-8b-2410 benchmark results

ministral-8b-2410 benchmark scores, ranked against all models measured on each benchmark
BenchmarkScoreRankSourceCaptured
GPQA Diamond27.1%#259 of 275Epoch AI Benchmarking Hub2026-10-13
DTBench45.7%#142 of 146Epoch AI Benchmarking Hub2026-10-13

About ministral-8b-2410

ministral-8b-2410 is a frontier model from Mistral AI. It was released on 2024-10-16, according to Epoch AI. No API price is listed for it yet. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where ministral-8b-2410 stands

On our aggregate score, ministral-8b-2410 is #703 of 743 ranked models, in the lower half. Its score is 42.6; the scale is centred on 50, so it sits 7.4 points below the typical model. That beats 5% of the ranked field. Among the 44 ranked Mistral AI models it is #40. The next one up is Mistral Large 3 at 42.7. The next one down is Mistral-7B-Instruct-v0.3 at 41.9.

ministral-8b-2410, benchmark by benchmark

GPQA Diamond is a weak spot. ministral-8b-2410 scores 27.1%, #259 of 275, behind 94% of the models measured. The leader, GPT-6 Astra (max), reaches 95.8%. It covers expert-level science questions. The board median is 71.7%, so ministral-8b-2410 is 44.6 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

DTBench is a weak spot. ministral-8b-2410 scores 45.7%, #142 of 146, behind 97% of the models measured. The leader, Claude Opus 5.5 (max), reaches 98.9%. It covers dynamic tool-use benchmark. The board median is 68.8%, so ministral-8b-2410 is 23.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

ministral-8b-2410 has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Release history

The Mistral AI model released before it was ministral-3b-2410 on 2024-10-16, which scores 41.3. The next one was mistral-large-2411 on 2024-11-18, at 45.6.

Reading these numbers

The 2 scores on this page come from 1 source: Epoch AI Benchmarking Hub (2). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

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Compare it on the live leaderboard → · How the aggregate score works