ministral-3b-2410: benchmark scores, price and ranking

ministral-3b-2410 from Mistral AI ranks #725 of 743 LLMs on the LLMs Tiger aggregate benchmark score (41.3), based on 3 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: #725 of 743 (score 41.3)

Relative to other models, ministral-3b-2410 is strongest on DTBench (#125 of 146) and weakest on GPQA Diamond (#265 of 275).

Across the 3 benchmarks where at least ten models are scored, ministral-3b-2410 is in the top 10% on 0 and in the top half on 0.

ministral-3b-2410 benchmark results

ministral-3b-2410 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
DTBench	51.7%	#125 of 146	Epoch AI Benchmarking Hub	2026-10-13
LMCA	5.5%	#103 of 108	Epoch AI Benchmarking Hub	2026-10-13
GPQA Diamond	25.3%	#265 of 275	Epoch AI Benchmarking Hub	2026-10-13

About ministral-3b-2410

ministral-3b-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 3 benchmark results for it across 3 areas, and none is in the top tenth of its board.

Where ministral-3b-2410 stands

On our aggregate score, ministral-3b-2410 is #725 of 743 ranked models, in the lower half. Its score is 41.3; the scale is centred on 50, so it sits 8.7 points below the typical model. That beats 2% of the ranked field. Among the 44 ranked Mistral AI models it is #43. The next one up is mistral-small-2503 at 41.9. The next one down is open-mistral-7b at 41.0.

ministral-3b-2410, benchmark by benchmark

DTBench is a weak spot. ministral-3b-2410 scores 51.7%, #125 of 146, behind 85% 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-3b-2410 is 17.1 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

LMCA is a weak spot. ministral-3b-2410 scores 5.5%, #103 of 108, behind 94% of the models measured. The leader, Claude Opus 5.5 (max), reaches 68.2%. It covers language-model capability assessment. The board median is 29.2%, so ministral-3b-2410 is 23.7 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

GPQA Diamond is a weak spot. ministral-3b-2410 scores 25.3%, #265 of 275, behind 96% 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-3b-2410 is 46.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

ministral-3b-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 mistral-small-2409 on 2024-09-17, which scores 46.3. The next one was ministral-8b-2410 on 2024-10-16, at 42.6.

Reading these numbers

The 3 scores on this page come from 1 source: Epoch AI Benchmarking Hub (3). No official leaderboard supplied any of them, so treat them as third-party measurements. With 3 results the aggregate rank can move a lot when one new score arrives.