Instruction following · Mistral AI

Codestral Chat on IFEval: score, rank and what it means

Codestral Chat scores 82.0 on IFEval, placing it #276 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
82.0
0–100 scale
Rank
#276
of 600
Percentile
54th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
14.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Codestral Chat highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Codestral Chat sits at #276 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 14.1 points. The median model in this index scores 81.2, which puts Codestral Chat above the midpoint.

Mistral AI models average 76.5 on this benchmark. Codestral Chat is 5.5 points above that provider line, so it is a stronger result than the average Mistral AI model.

Among multimodal models, the average is 85.2. Codestral Chat is 3.2 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 82.0 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 $3.89 per million input tokens, Codestral Chat is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Grok 3 Mini xAI 200000 $9.67 73.9
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Codestral Chat Mistral AI 32768 $3.89 75.8
Command R+ Chat Cohere 32768 $4.02 76.0
Fusion Reasoning OpenRouter 65536 $8.59 72.2

Other benchmarks for Codestral Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.1 180 70th
GPQA Diamond 70.0 260 57th
SWE-bench Verified 62.8 256 57th
HumanEval 82.3 178 70th
MATH-500 76.8 283 53th
AIME 2025 73.9 184 69th
LiveCodeBench 67.0 248 59th
TruthfulQA 79.2 209 65th
HellaSwag 86.3 204 66th
MMMU 73.1 215 64th
Arena Elo 1389.9 250 58th

FAQ

What score does Codestral Chat get on IFEval?

Codestral Chat scores 82.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Codestral Chat rank on IFEval?

It ranks #276 of 600 models, in the 54th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Codestral Chat good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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 Chat cost?

Codestral Chat costs $3.89 per million input tokens and $18.19 per million output tokens.

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