Preference · Mistral AI

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

Codestral scores 1391.6 on Arena Elo, placing it #242 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
1391.6
0–100 scale
Rank
#242
of 600
Percentile
60th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
110.3
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Codestral 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 sits at #242 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 110.3 points. The median model in this index scores 1373.8, which puts Codestral above the midpoint.

Mistral AI models average 1329.1 on this benchmark. Codestral is 62.5 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 is 18.0 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 1391.6 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 $4.19 per million input tokens, Codestral is above 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 3.1 Turbo Together AI 200000 $4.17 76.8
Llama 3.1 Chat Meta AI 32768 $3.82 75.3
Phi-4 Microsoft 200000 $3.96 75.4
Llama 3 Anyscale Instruct Anyscale 200000 $3.91 75.7
Codestral Mistral AI 65536 $4.19 77.6
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Llama 3 Modal Modal 32768 $3.82 74.9

Other benchmarks for Codestral

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.2 203 66th
GPQA Diamond 75.3 138 77th
SWE-bench Verified 67.7 152 75th
HumanEval 80.5 218 64th
MATH-500 82.1 161 73th
AIME 2025 71.4 230 62th
LiveCodeBench 67.3 241 60th
IFEval 85.9 160 73th
TruthfulQA 79.9 179 70th
HellaSwag 88.2 132 78th
MMMU 76.0 139 77th

FAQ

What score does Codestral get on Arena Elo?

Codestral scores 1391.6 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Codestral rank on Arena Elo?

It ranks #242 of 600 models, in the 60th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Codestral 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 cost?

Codestral costs $4.19 per million input tokens and $16.36 per million output tokens.

Related