Instruction following · Mistral AI

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

Magistral Instruct scores 86.7 on IFEval, placing it #141 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
86.7
0–100 scale
Rank
#141
of 600
Percentile
77th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
9.4
points

Score distribution

The chart shows the top 10 models on IFEval, with Magistral 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, Magistral Instruct sits at #141 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 9.4 points. The median model in this index scores 81.2, which puts Magistral Instruct above the midpoint.

Mistral AI models average 76.5 on this benchmark. Magistral Instruct is 10.2 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. Magistral Instruct is 1.5 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 86.7 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 $4.48 per million input tokens, Magistral 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
Command A Turbo Cohere 32768 $13.53 79.8
GPT-5.1 Mini OpenAI 128000 $12.19 77.7
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
Command A Max Cohere 400000 $14.28 79.9
Magistral Instruct Mistral AI 65536 $4.48 78.4
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Mistral Large 3 Chat Mistral AI 1000000 $4.90 79.1

Other benchmarks for Magistral Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.8 156 74th
GPQA Diamond 73.8 176 71th
SWE-bench Verified 69.8 115 81th
HumanEval 80.5 222 63th
MATH-500 81.7 172 71th
AIME 2025 71.7 224 63th
LiveCodeBench 73.6 118 80th
TruthfulQA 78.3 246 59th
HellaSwag 89.0 111 82th
MMMU 76.4 129 79th
Arena Elo 1402.2 203 66th

FAQ

What score does Magistral Instruct get on IFEval?

Magistral Instruct scores 86.7 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Magistral Instruct rank on IFEval?

It ranks #141 of 600 models, in the 77th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Magistral 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 Magistral Instruct cost?

Magistral Instruct costs $4.48 per million input tokens and $22.65 per million output tokens.

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