Preference · Mistral AI

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

Codestral Chat scores 1389.9 on Arena Elo, placing it #250 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
1389.9
0–100 scale
Rank
#250
of 600
Percentile
58th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
112.0
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Codestral 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, Codestral Chat sits at #250 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 112.0 points. The median model in this index scores 1373.8, which puts Codestral Chat above the midpoint.

Mistral AI models average 1329.1 on this benchmark. Codestral Chat is 60.8 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. Codestral Chat is 19.7 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 1389.9 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 $3.89 per million input tokens, Codestral 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
Hunyuan-Turbo Turbo Tencent 65536 $11.60 77.4
Llama 3 Lambda Lambda 65536 $3.90 75.6
Yi-Large Instruct 01.AI 32768 $3.48 73.4
ERNIE 4.0 Baidu 32768 $11.37 76.7
Codestral Chat Mistral AI 32768 $3.89 75.8
Hunyuan-Turbo Tencent 128000 $10.55 75.8
GPT-5.2 Nano OpenAI 128000 $9.73 73.5

Other benchmarks for Codestral Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.1 180 70th
GPQA Diamond 70.0 260 57th
SWE-bench Verified 62.8 256 57th
HumanEval 82.3 178 70th
MATH-500 76.8 283 53th
AIME 2025 73.9 184 69th
LiveCodeBench 67.0 248 59th
IFEval 82.0 276 54th
TruthfulQA 79.2 209 65th
HellaSwag 86.3 204 66th
MMMU 73.1 215 64th

FAQ

What score does Codestral Chat get on Arena Elo?

Codestral Chat scores 1389.9 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Codestral Chat rank on Arena Elo?

It ranks #250 of 600 models, in the 58th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Codestral 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 Codestral Chat cost?

Codestral Chat costs $3.89 per million input tokens and $18.19 per million output tokens.

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