open-mistral-7b: benchmark scores, price and ranking

open-mistral-7b from Mistral AI ranks #730 of 743 LLMs on the LLMs Tiger aggregate benchmark score (41.0), based on 2 benchmark results captured up to 2026-10-14.

Organisation: Mistral AI
Type: Frontier model
Open weights: No
Released: 2023-09-27 (source: epoch)
Aggregate rank: #730 of 743 (score 41.0)

Across the 2 benchmarks where at least ten models are scored, open-mistral-7b is in the top 10% on 0 and in the top half on 0.

open-mistral-7b benchmark results

open-mistral-7b benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
DTBench	42.5%	#144 of 146	Epoch AI Benchmarking Hub	2026-10-14
GPQA Diamond	13.2%	#275 of 277	Epoch AI Benchmarking Hub	2026-10-14

About open-mistral-7b

open-mistral-7b is a frontier model from Mistral AI. It was released on 2023-09-27, 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 open-mistral-7b stands

On our aggregate score, open-mistral-7b is #730 of 743 ranked models, in the lower half. Its score is 41.0; the scale is centred on 50, so it sits 9.0 points below the typical model. That beats 2% of the ranked field. Among the 44 ranked Mistral AI models it is #44. The next one up is ministral-3b-2410 at 41.3.

open-mistral-7b, benchmark by benchmark

DTBench is a weak spot. open-mistral-7b scores 42.5%, #144 of 146, behind 98% 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 open-mistral-7b is 26.3 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-14.

GPQA Diamond is a weak spot. open-mistral-7b scores 13.2%, #275 of 277, behind 99% of the models measured. The leader, gemini-4-argon-high, reaches 96.4%. It covers expert-level science questions. The board median is 72.2%, so open-mistral-7b is 59.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-14.

Strengths and weaknesses

open-mistral-7b 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 next one was mistral-medium-2312 on 2023-12-11, at 46.7.

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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