Preference · Mistral AI

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

Mixtral Chat scores 1377.6 on Arena Elo, placing it #282 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
1377.6
0–100 scale
Rank
#282
of 600
Percentile
53th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
124.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Mixtral Chat 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 Chat sits at #282 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 124.3 points. The median model in this index scores 1373.8, which puts Mixtral Chat above the midpoint.

Mistral AI models average 1329.1 on this benchmark. Mixtral Chat is 48.5 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 1338.0. Mixtral Chat is 39.6 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 1377.6 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Lambda Chat Lambda 32768 $3.73 74.7
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
GPT-5.1 Nano OpenAI 32768 $9.56 74.1
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Mixtral Chat Mistral AI 65536 $3.30 72.6
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7

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
AIME 2025 64.4 350 42th
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

FAQ

What score does Mixtral Chat get on Arena Elo?

Mixtral Chat scores 1377.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Mixtral Chat rank on Arena Elo?

It ranks #282 of 600 models, in the 53rd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Mixtral Chat good at Arena Elo?

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 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 Chat cost?

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

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