Instruction following · Mistral AI

Codestral 1.5B on IFEval: score, rank and what it means

Codestral 1.5B scores 60.2 on IFEval, placing it #571 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
60.2
0–100 scale
Rank
#571
of 600
Percentile
5th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
35.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Codestral 1.5B 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 1.5B sits at #571 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 35.9 points. The median model in this index scores 81.2, which puts Codestral 1.5B below the midpoint.

Mistral AI models average 76.5 on this benchmark. Codestral 1.5B is 16.3 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 1.5B is 4.7 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 60.2 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 $0.52 per million input tokens, Codestral 1.5B 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
StableLM 2 8B Stability AI 32768 $0.38 47.0
Llama 3 Lambda 1.5B Lambda 16384 $0.46 48.4
Nemotron Nano 7B NVIDIA 8192 $0.35 47.5
Llama 3 Modal 1.5B Modal 4096 $0.42 49.7
Codestral 1.5B Mistral AI 8192 $0.52 49.9
Molmo 8B Allen Institute for AI 32768 $0.44 49.9
Llama 3 Novita 1.5B Novita AI 4096 $0.41 49.1

Other benchmarks for Codestral 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 58.5 545 9th
GPQA Diamond 46.4 554 8th
SWE-bench Verified 34.0 565 6th
HumanEval 53.1 553 8th
MATH-500 48.8 564 6th
AIME 2025 37.9 551 8th
LiveCodeBench 36.7 559 7th
TruthfulQA 56.1 563 6th
HellaSwag 68.7 549 9th
MMMU 48.5 558 7th
Arena Elo 1192.0 564 6th

FAQ

What score does Codestral 1.5B get on IFEval?

Codestral 1.5B scores 60.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Codestral 1.5B rank on IFEval?

It ranks #571 of 600 models, in the 5th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Codestral 1.5B 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 1.5B cost?

Codestral 1.5B costs $0.52 per million input tokens and $2.03 per million output tokens.

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