Instruction following · Mistral AI

Mistral Large 3 on IFEval: score, rank and what it means

Mistral Large 3 scores 89.8 on IFEval, placing it #75 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
89.8
0–100 scale
Rank
#75
of 600
Percentile
88th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
6.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Mistral Large 3 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, Mistral Large 3 sits at #75 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 6.3 points. The median model in this index scores 81.2, which puts Mistral Large 3 above the midpoint.

Mistral AI models average 76.5 on this benchmark. Mistral Large 3 is 13.3 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. Mistral Large 3 is 4.6 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 89.8 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 $5.41 per million input tokens, Mistral Large 3 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 3.7 Sonnet Max Anthropic 128000 $16.88 83.7
Claude Haiku 4.5 Max Anthropic 200000 $15.98 83.8
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4
Claude Sonnet 4.5 Vision Anthropic 128000 $16.99 83.8
Mistral Large 3 Mistral AI 128000 $5.41 81.7
DeepSeek-R1 Chat DeepSeek 400000 $5.62 82.4
DeepSeek-V3.2 DeepSeek 1000000 $5.88 84.0

Other benchmarks for Mistral Large 3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.6 71 88th
GPQA Diamond 79.6 65 89th
SWE-bench Verified 71.3 89 85th
HumanEval 88.6 62 90th
MATH-500 84.1 123 80th
AIME 2025 78.3 110 82th
LiveCodeBench 74.4 101 83th
TruthfulQA 83.7 89 85th
HellaSwag 88.2 135 78th
MMMU 76.2 134 78th
Arena Elo 1448.6 76 87th

FAQ

What score does Mistral Large 3 get on IFEval?

Mistral Large 3 scores 89.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Mistral Large 3 rank on IFEval?

It ranks #75 of 600 models, in the 88th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Mistral Large 3 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 Mistral Large 3 cost?

Mistral Large 3 costs $5.41 per million input tokens and $23.83 per million output tokens.

Related