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
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| GPQA Diamond | 27.1% | #259 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
| DTBench | 45.7% | #142 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
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.
Models ranked nearby
- #700 Llama-3.1-70B-Instruct (42.6)
- #701 Gemini 1.5 Flash (May 2024) (42.6)
- #702 gpt-4-turbo-2024-04-09 (42.6)
- #704 Meta-Llama-3-70B-Instruct (42.5)
- #705 Qwen2-0.5B (42.4)
- #706 Qwen2.5-0.5B (42.4)
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- Codestral-22B-v0.1-Q4_K_M (#392, 48.0)
- codestral:22b-v0.1-q8_0 (#393, 48.0)
- Mistral Large 4 (high) (#411, 47.7)
Compare it on the live leaderboard → · How the aggregate score works