Preference · Mistral AI

Mixtral on Arena Elo: score, rank and what it means

Mixtral scores 1363.2 on Arena Elo, placing it #337 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1363.2
0–100 scale
Rank
#337
of 600
Percentile
44th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
138.7
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Mixtral highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Mixtral sits at #337 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 138.7 points. The median model in this index scores 1373.8, which puts Mixtral below the midpoint.

Mistral AI models average 1329.1 on this benchmark. Mixtral is 34.1 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 1409.6. Mixtral is 46.4 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 1363.2 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 $3.48 per million input tokens, Mixtral is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Mixtral Turbo Together AI 65536 $3.20 72.4
Llama 3 Modal Base Modal 16384 $3.21 72.2
Mixtral Mistral AI 65536 $3.48 73.7
Mixtral Instruct Mistral AI 65536 $3.35 72.9
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0

Other benchmarks for Mixtral

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.3 269 55th
GPQA Diamond 71.3 234 61th
SWE-bench Verified 60.3 321 47th
HumanEval 75.9 330 45th
MATH-500 78.5 249 59th
AIME 2025 72.2 215 64th
LiveCodeBench 62.5 342 43th
IFEval 81.2 298 50th
TruthfulQA 76.4 297 51th
HellaSwag 82.8 326 46th
MMMU 72.7 228 62th

FAQ

What score does Mixtral get on Arena Elo?

Mixtral scores 1363.2 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Mixtral rank on Arena Elo?

It ranks #337 of 600 models, in the 44th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Mixtral good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 cost?

Mixtral costs $3.48 per million input tokens and $12.73 per million output tokens.

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