Mathematics · Meta AI

Llama 4 Scout 7B on AIME 2025: score, rank and what it means

Llama 4 Scout 7B scores 53.1 on AIME 2025, placing it #433 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
53.1
0–100 scale
Rank
#433
of 600
Percentile
28th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
38.3
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Llama 4 Scout 7B 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 7B sits at #433 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 38.3 points. The median model in this index scores 67.6, which puts Llama 4 Scout 7B below the midpoint.

Meta AI models average 62.6 on this benchmark. Llama 4 Scout 7B is 9.5 points below that provider line, so it is a weaker result than the average Meta AI model.

Among small open-weight models, the average is 41.6. Llama 4 Scout 7B is 11.5 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 53.1 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 $1.30 per million input tokens, Llama 4 Scout 7B is below 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
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Embed 4 Pro Cohere 4096 $5.05 63.5
Embed 4 Turbo Cohere 4096 $5.13 64.0
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
SmolLM3 Chat Hugging Face 16384 $1.61 62.1

Other benchmarks for Llama 4 Scout 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.3 484 19th
GPQA Diamond 53.9 483 20th
SWE-bench Verified 45.9 454 24th
HumanEval 61.2 483 20th
MATH-500 61.4 449 25th
LiveCodeBench 51.3 435 28th
IFEval 70.5 449 25th
TruthfulQA 64.9 460 23th
HellaSwag 74.6 447 26th
MMMU 60.0 429 29th
Arena Elo 1265.6 468 22th

FAQ

What score does Llama 4 Scout 7B get on AIME 2025?

Llama 4 Scout 7B scores 53.1 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Llama 4 Scout 7B rank on AIME 2025?

It ranks #433 of 600 models, in the 28th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Llama 4 Scout 7B good at AIME 2025?

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 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 7B cost?

Llama 4 Scout 7B costs $1.30 per million input tokens and $5.58 per million output tokens.

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