Mathematics · Mistral AI

Mixtral Instruct on AIME 2025: score, rank and what it means

Mixtral Instruct scores 69.0 on AIME 2025, placing it #282 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
69.0
0–100 scale
Rank
#282
of 600
Percentile
53th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
22.4
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral Instruct highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Mixtral Instruct sits at #282 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 22.4 points. The median model in this index scores 67.6, which puts Mixtral Instruct above the midpoint.

Mistral AI models average 59.6 on this benchmark. Mixtral Instruct is 9.4 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 73.9. Mixtral Instruct is 4.9 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 69.0 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $3.35 per million input tokens, Mixtral Instruct is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Magistral Base Mistral AI 65536 $3.86 75.6
Qwen3-Max Nano Alibaba Cloud 65536 $8.31 71.7
Firefunction Fireworks AI 16384 $8.16 72.3
Mixtral Instruct Mistral AI 65536 $3.35 72.9
Codestral Base Mistral AI 8192 $3.31 73.1
Llama 3 Anyscale Anyscale 65536 $3.94 74.7

Other benchmarks for Mixtral Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.0 279 54th
GPQA Diamond 67.6 320 47th
SWE-bench Verified 61.0 299 50th
HumanEval 78.2 286 52th
MATH-500 75.6 312 48th
LiveCodeBench 66.2 271 55th
IFEval 79.8 336 44th
TruthfulQA 75.4 322 46th
HellaSwag 82.0 348 42th
MMMU 70.2 293 51th
Arena Elo 1362.7 338 44th

FAQ

What score does Mixtral Instruct get on AIME 2025?

Mixtral Instruct scores 69.0 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral Instruct rank on AIME 2025?

It ranks #282 of 600 models, in the 53rd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral Instruct good at AIME 2025?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the AIME 2025 score calculated?

AIME 2025 is a mathematics benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Mixtral Instruct cost?

Mixtral Instruct costs $3.35 per million input tokens and $18.19 per million output tokens.

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