open-mixtral-8x7b: benchmark scores, price and ranking
open-mixtral-8x7b from Mistral AI ranks #682 of 743 LLMs on the LLMs Tiger aggregate benchmark score (43.2), based on 2 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral AI
- Type
- Frontier model
- Open weights
- No
- Released
- 2023-12-11 (source: epoch)
- Aggregate rank
- #682 of 743 (score 43.2)
Across the 2 benchmarks where at least ten models are scored, open-mixtral-8x7b is in the top 10% on 0 and in the top half on 0.
open-mixtral-8x7b benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| DTBench | 49.6% | #132 of 146 | Epoch AI Benchmarking Hub | 2026-10-13 |
| GPQA Diamond | 29.8% | #252 of 275 | Epoch AI Benchmarking Hub | 2026-10-13 |
About open-mixtral-8x7b
open-mixtral-8x7b is a frontier model from Mistral AI. It was released on 2023-12-11, 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-mixtral-8x7b stands
On our aggregate score, open-mixtral-8x7b is #682 of 743 ranked models, in the lower half. Its score is 43.2; the scale is centred on 50, so it sits 6.8 points below the typical model. That beats 8% of the ranked field. Among the 44 ranked Mistral AI models it is #37. The next one up is mistral-large-2407 at 43.3. The next one down is mistral-large-2402 at 42.8.
open-mixtral-8x7b, benchmark by benchmark
DTBench is a weak spot. open-mixtral-8x7b scores 49.6%, #132 of 146, behind 90% 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-mixtral-8x7b is 19.2 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
GPQA Diamond is a weak spot. open-mixtral-8x7b scores 29.8%, #252 of 275, behind 91% 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 open-mixtral-8x7b is 41.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Strengths and weaknesses
open-mixtral-8x7b 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 Mixtral-8x7B-Instruct-v0.1 on 2023-12-11, which scores 45.7. The next one was mistral-large-2402 on 2024-02-26, at 42.8.
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
- #679 Llama-3.2-3B (43.4)
- #680 mistral-large-2407 (43.3)
- #681 granite-3.0-2b-base (43.3)
- #683 SWE-Llama 7B (43.2)
- #684 Trinity Large Thinking (43.2)
- #685 granite-4.0-micro (43.2)
More from Mistral AI
- Mistral Large 2 (2407) (#231, 49.9)
- codestral-2405 (#352, 48.4)
- pixtral-large-2411 (#360, 48.3)
- 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