Mathematics · Meta AI

Llama 4 Scout on AIME 2025: score, rank and what it means

Llama 4 Scout scores 74.2 on AIME 2025, placing it #173 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
74.2
0–100 scale
Rank
#173
of 600
Percentile
71th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
17.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Llama 4 Scout highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Llama 4 Scout sits at #173 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 17.2 points. The median model in this index scores 67.6, which puts Llama 4 Scout above the midpoint.

Meta AI models average 62.6 on this benchmark. Llama 4 Scout is 11.6 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 73.9. Llama 4 Scout is 0.3 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 74.2 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 $4.90 per million input tokens, Llama 4 Scout is above the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 3 Flash Mini Google DeepMind 200000 $10.71 76.0
Hunyuan-Large Tencent 65536 $4.33 78.2
Command A Reasoning Cohere 400000 $13.74 80.2
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
Llama 4 Scout Meta AI 200000 $4.90 79.3
Magistral Mistral AI 200000 $4.75 79.8
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5

Other benchmarks for Llama 4 Scout

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.9 123 80th
GPQA Diamond 74.1 165 73th
SWE-bench Verified 70.4 103 83th
HumanEval 86.5 96 84th
MATH-500 81.0 192 68th
LiveCodeBench 72.1 145 76th
IFEval 86.9 136 77th
TruthfulQA 82.1 128 79th
HellaSwag 88.9 114 81th
MMMU 74.1 188 69th
Arena Elo 1431.8 119 80th

FAQ

What score does Llama 4 Scout get on AIME 2025?

Llama 4 Scout scores 74.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Llama 4 Scout rank on AIME 2025?

It ranks #173 of 600 models, in the 71st percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Llama 4 Scout good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 Llama 4 Scout cost?

Llama 4 Scout costs $4.90 per million input tokens and $24.91 per million output tokens.

Related