Mixtral 8x7B: benchmark scores, price and ranking
Mixtral 8x7B from Mistral AI is a recent or sparsely tested model with 1 benchmark result on record; it has not been measured on enough benchmarks shared with other models to receive an aggregate rank. This page lists every score we have, based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Mistral AI
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2023-12-11 (source: epoch)
- Aggregate rank
- Not ranked yet (too few shared benchmarks)
Across the 1 benchmark where at least ten models are scored, Mixtral 8x7B is in the top 10% on 0 and in the top half on 0.
Mixtral 8x7B benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Epoch ECI | 118 | #135 of 204 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Mixtral 8x7B
Mixtral 8x7B is an open-weight model that can run on your own hardware from Mistral AI. It was released on 2023-12-11, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Mixtral 8x7B stands
Mixtral 8x7B has 1 result so far and shares too few benchmarks with other models to get an aggregate rank. The rank will appear on its own once more scores are published.
Mixtral 8x7B, benchmark by benchmark
Mixtral 8x7B lands below the middle on Epoch ECI: 118, #135 of 204, with 66% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is Qwen2.5-7B at 119. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Mixtral 8x7B is 9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Release history
The Mistral AI model released before it was mistral-medium-2312 on 2023-12-11, which scores 46.7. The next one was Mixtral-8x7B-Instruct-v0.1 on 2023-12-11, at 45.7.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
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