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Mistral AI

Mixtral 8x7B benchmark results

9 results on 7 benchmarks from 5 sources.

Open weights Released: Dec 11, 2023 Updated Oct 22, 2026

Also listed as: mixtral-8x7b-instruct-v0.1 · Mixtral-8x7B-Instruct-v0.1 · open-mixtral-8x7b · Mixtral-8x7B-v0.1 · Mixtral 8x7b · mistralai/Mixtral-8x7B-Instruct-v0.1 · mistralai/Mixtral-8x7B-v0.1

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1197 347 Overall, style control on; 73503 votes; 95% CI 1193–1201“mixtral-8x7b-instruct-v0.1” Official leaderboard Oct 8, 2026
Open LLM Leaderboard v2 23.8% 1884 Average of 6 normalised benchmarks; bfloat16; 46.703B params“mistralai/Mixtral-8x7B-Instruct-v0.1” Official leaderboard Mar 13, 2025
Open LLM Leaderboard v2 19.7% 2741 Average of 6 normalised benchmarks; float16; 46.703B params“mistralai/Mixtral-8x7B-v0.1” Official leaderboard Mar 13, 2025
GPQA Diamond 30.6% 261 Epoch AI run, accuracy Independent run Jan 27, 2025
MMLU 70.6% 23 Exact match; 5-shot Paper / tech report via Epoch AI Dec 11, 2023
MMLU-Pro 43.3% 183 Overall accuracy; data source: TIGER-Lab; 56B“Mixtral-8x7B-Instruct-v0.1” Official leaderboard Mar 11, 2026
HumanEval / HumanEval+ 45.1% 77 HumanEval (base tests), pass@1 greedy“Mixtral-8x7B-Instruct-v0.1” Official leaderboard Dec 26, 2024
HumanEval / HumanEval+ 39.6% 76 HumanEval+ (extended tests), pass@1 greedy“Mixtral-8x7B-Instruct-v0.1” Official leaderboard Dec 26, 2024
MATH Level 5 9.3% 99 Epoch AI run, accuracy Independent run Jan 27, 2025
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FAQ

Where do these Mixtral 8x7B scores come from?

From Epoch AI Benchmarking Hub, EvalPlus leaderboard, LMArena leaderboard dataset, MMLU-Pro leaderboard (TIGER-Lab), and Hugging Face Open LLM Leaderboard v2 (archived). Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.

Data updated: Benchmarks(UTC+8)