Preference · Mistral AI

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

Codestral Instruct scores 1394.4 on Arena Elo, placing it #231 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
1394.4
0–100 scale
Rank
#231
of 600
Percentile
62th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
107.5
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Codestral Instruct 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 Instruct sits at #231 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 107.5 points. The median model in this index scores 1373.8, which puts Codestral Instruct above the midpoint.

Mistral AI models average 1329.1 on this benchmark. Codestral Instruct is 65.3 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 Instruct is 15.2 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 1394.4 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 $4.01 per million input tokens, Codestral Instruct 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
Sonar Max Perplexity 32768 $11.60 77.8
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Hunyuan-Large Tencent 65536 $4.33 78.2
Codestral Instruct Mistral AI 65536 $4.01 75.1
o3 Mini OpenAI 128000 $10.68 76.2
Sonar Perplexity 200000 $10.57 76.0

Other benchmarks for Codestral Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.4 228 62th
GPQA Diamond 69.2 287 52th
SWE-bench Verified 64.3 225 63th
HumanEval 82.5 171 72th
MATH-500 78.1 256 57th
AIME 2025 68.0 295 51th
LiveCodeBench 66.1 272 55th
IFEval 84.2 209 65th
TruthfulQA 78.2 248 59th
HellaSwag 87.3 161 73th
MMMU 70.0 302 50th

FAQ

What score does Codestral Instruct get on Arena Elo?

Codestral Instruct scores 1394.4 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Codestral Instruct rank on Arena Elo?

It ranks #231 of 600 models, in the 62nd percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Codestral Instruct 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 Instruct cost?

Codestral Instruct costs $4.01 per million input tokens and $16.29 per million output tokens.

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