Preference · Mistral AI

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

Codestral Base scores 1371.7 on Arena Elo, placing it #310 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
1371.7
0–100 scale
Rank
#310
of 600
Percentile
48th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
130.2
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Codestral Base 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 Base sits at #310 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 130.2 points. The median model in this index scores 1373.8, which puts Codestral Base below the midpoint.

Mistral AI models average 1329.1 on this benchmark. Codestral Base is 42.6 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among open-weight models, the average is 1338.0. Codestral Base is 33.7 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 1371.7 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 $3.31 per million input tokens, Codestral Base 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
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
DBRX Chat Databricks 65536 $3.07 71.7
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Phi-4 Chat Microsoft 65536 $3.66 74.7
Codestral Base Mistral AI 8192 $3.31 73.1
Nova Lite Amazon 65536 $9.20 73.4
Gemma 3 Google DeepMind 65536 $3.68 73.6

Other benchmarks for Codestral Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.1 348 42th
GPQA Diamond 70.4 252 58th
SWE-bench Verified 62.6 264 56th
HumanEval 79.7 240 60th
MATH-500 77.4 267 56th
AIME 2025 68.7 283 53th
LiveCodeBench 65.7 279 54th
IFEval 79.2 347 42th
TruthfulQA 74.3 347 42th
HellaSwag 83.3 311 48th
MMMU 68.3 339 44th

FAQ

What score does Codestral Base get on Arena Elo?

Codestral Base scores 1371.7 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Codestral Base rank on Arena Elo?

It ranks #310 of 600 models, in the 48th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Codestral Base 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 Base cost?

Codestral Base costs $3.31 per million input tokens and $16.95 per million output tokens.

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