Instruction following · Mistral AI

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

Codestral 8B scores 70.4 on IFEval, placing it #451 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
70.4
0–100 scale
Rank
#451
of 600
Percentile
25th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
25.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Codestral 8B 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 8B sits at #451 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 25.7 points. The median model in this index scores 81.2, which puts Codestral 8B below the midpoint.

Mistral AI models average 76.5 on this benchmark. Codestral 8B is 6.1 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 64.9. Codestral 8B is 5.5 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 70.4 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Magistral 8B Mistral AI 4096 $1.33 60.0
Codestral 8B Mistral AI 4096 $1.18 59.0
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5

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
TruthfulQA 65.4 455 24th
HellaSwag 72.0 495 18th
MMMU 55.6 491 18th
Arena Elo 1253.3 486 19th

FAQ

What score does Codestral 8B get on IFEval?

Codestral 8B scores 70.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Codestral 8B rank on IFEval?

It ranks #451 of 600 models, in the 25th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Codestral 8B good at IFEval?

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 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 8B cost?

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

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