Mathematics · Mistral AI

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

Mixtral Chat scores 64.4 on AIME 2025, placing it #350 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
64.4
0–100 scale
Rank
#350
of 600
Percentile
42th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
27.0
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Mixtral Chat 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 Chat sits at #350 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 27.0 points. The median model in this index scores 67.6, which puts Mixtral Chat below the midpoint.

Mistral AI models average 59.6 on this benchmark. Mixtral Chat is 4.8 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 61.8. Mixtral Chat is 2.7 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 64.4 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 $3.30 per million input tokens, Mixtral Chat 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
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Phi-4 Base Microsoft 32768 $3.15 71.2
Reka Core Mini Reka AI 8192 $7.48 70.1
Mixtral Groq Base Groq 32768 $2.66 68.4
Mixtral Chat Mistral AI 65536 $3.30 72.6
Nova Pro Mini Amazon 16384 $7.74 70.6
Gemma 3 Base Google DeepMind 65536 $3.09 71.1

Other benchmarks for Mixtral Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.1 303 50th
GPQA Diamond 70.6 247 59th
SWE-bench Verified 59.5 334 44th
HumanEval 78.6 276 54th
MATH-500 75.8 306 49th
LiveCodeBench 64.8 298 50th
IFEval 80.5 321 47th
TruthfulQA 73.8 360 40th
HellaSwag 83.7 295 51th
MMMU 70.4 286 52th
Arena Elo 1377.6 282 53th

FAQ

What score does Mixtral Chat get on AIME 2025?

Mixtral Chat scores 64.4 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Mixtral Chat rank on AIME 2025?

It ranks #350 of 600 models, in the 42nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Mixtral Chat good at AIME 2025?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Chat cost?

Mixtral Chat costs $3.30 per million input tokens and $13.04 per million output tokens.

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