Instruction following · Mistral AI

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

Codestral Instruct scores 84.2 on IFEval, placing it #209 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
84.2
0–100 scale
Rank
#209
of 600
Percentile
65th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
11.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Codestral Instruct 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 Instruct sits at #209 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 11.9 points. The median model in this index scores 81.2, which puts Codestral Instruct above the midpoint.

Mistral AI models average 76.5 on this benchmark. Codestral Instruct is 7.7 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 Instruct is 1.0 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 84.2 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0
Hunyuan-Large Chat Tencent 200000 $4.35 78.1
QwQ Alibaba Cloud 128000 $4.57 78.6
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Codestral Instruct Mistral AI 65536 $4.01 75.1
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Llama 3 Lambda Instruct Lambda 32768 $3.92 75.8

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
TruthfulQA 78.2 248 59th
HellaSwag 87.3 161 73th
MMMU 70.0 302 50th
Arena Elo 1394.4 231 62th

FAQ

What score does Codestral Instruct get on IFEval?

Codestral Instruct scores 84.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Codestral Instruct rank on IFEval?

It ranks #209 of 600 models, in the 65th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Codestral Instruct 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 Instruct cost?

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

Related