Preference · Mistral AI

Codestral 7B on Arena Elo: score, rank and what it means

Codestral 7B scores 1243.9 on Arena Elo, placing it #500 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
1243.9
0–100 scale
Rank
#500
of 600
Percentile
17th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
258.0
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Codestral 7B 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 7B sits at #500 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 258.0 points. The median model in this index scores 1373.8, which puts Codestral 7B below the midpoint.

Mistral AI models average 1329.1 on this benchmark. Codestral 7B is 85.2 points below that provider line, so it is a weaker result than the average Mistral AI model.

Among small open-weight models, the average is 1224.7. Codestral 7B is 19.2 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 1243.9 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 $1.05 per million input tokens, Codestral 7B 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
Mistral Small 3 7B Mistral AI 4096 $0.89 55.2
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
Codestral 7B Mistral AI 32768 $1.05 57.0
Command R+ 7B Cohere 8192 $0.95 56.2
Mistral Large 3 1.5B Mistral AI 32768 $0.82 55.4

Other benchmarks for Codestral 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.2 526 12th
GPQA Diamond 54.0 480 20th
SWE-bench Verified 44.0 478 20th
HumanEval 62.3 465 23th
MATH-500 57.0 497 17th
AIME 2025 42.8 525 13th
LiveCodeBench 48.0 465 23th
IFEval 69.0 473 21th
TruthfulQA 61.0 519 14th
HellaSwag 73.9 457 24th
MMMU 55.1 495 18th

FAQ

What score does Codestral 7B get on Arena Elo?

Codestral 7B scores 1243.9 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Codestral 7B rank on Arena Elo?

It ranks #500 of 600 models, in the 17th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Codestral 7B 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 Codestral 7B cost?

Codestral 7B costs $1.05 per million input tokens and $5.23 per million output tokens.

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