Preference · Mistral AI

Codestral 8B on Arena Elo: score, rank and what it means

Codestral 8B scores 1253.3 on Arena Elo, placing it #486 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
1253.3
0–100 scale
Rank
#486
of 600
Percentile
19th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
248.6
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Codestral 8B 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 8B sits at #486 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 248.6 points. The median model in this index scores 1373.8, which puts Codestral 8B below the midpoint.

Mistral AI models average 1329.1 on this benchmark. Codestral 8B is 75.8 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 8B is 28.6 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 1253.3 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 $1.18 per million input tokens, Codestral 8B 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
Command R+ 8B Cohere 8192 $1.21 57.7
Llama 3.1 Cerebras 8B Cerebras 32768 $1.02 58.2
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2
Codestral 8B Mistral AI 4096 $1.18 59.0
Mixtral 8B Mistral AI 8192 $0.91 55.4
Hunyuan-Large 7B Tencent 32768 $1.08 57.7

Other benchmarks for Codestral 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.7 441 27th
GPQA Diamond 53.3 488 19th
SWE-bench Verified 46.1 451 25th
HumanEval 62.8 459 24th
MATH-500 57.9 492 18th
AIME 2025 49.9 461 23th
LiveCodeBench 49.5 453 25th
IFEval 70.4 451 25th
TruthfulQA 65.4 455 24th
HellaSwag 72.0 495 18th
MMMU 55.6 491 18th

FAQ

What score does Codestral 8B get on Arena Elo?

Codestral 8B scores 1253.3 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Codestral 8B rank on Arena Elo?

It ranks #486 of 600 models, in the 19th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Codestral 8B 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 8B cost?

Codestral 8B costs $1.18 per million input tokens and $5.35 per million output tokens.

Related