Mathematics · Meta AI

Llama 4 Scout 8B on AIME 2025: score, rank and what it means

Llama 4 Scout 8B scores 50.2 on AIME 2025, placing it #458 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
50.2
0–100 scale
Rank
#458
of 600
Percentile
24th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
41.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Llama 4 Scout 8B 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 8B sits at #458 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 41.2 points. The median model in this index scores 67.6, which puts Llama 4 Scout 8B below the midpoint.

Meta AI models average 62.6 on this benchmark. Llama 4 Scout 8B is 12.4 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 8B is 8.6 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 50.2 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 $1.46 per million input tokens, Llama 4 Scout 8B 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
Pythia Chat EleutherAI 4096 $1.31 59.1
Llama 3.3 Groq 8B Groq 16384 $1.17 59.5
Sonar Nano Perplexity 4096 $4.37 61.9
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
Llama 3.1 8B Meta AI 8192 $1.15 58.7
Pythia EleutherAI 32768 $1.29 59.8

Other benchmarks for Llama 4 Scout 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.5 425 29th
GPQA Diamond 58.9 418 30th
SWE-bench Verified 48.1 436 27th
HumanEval 66.3 426 29th
MATH-500 62.7 439 27th
LiveCodeBench 49.7 452 25th
IFEval 71.8 430 28th
TruthfulQA 65.8 446 26th
HellaSwag 73.7 462 23th
MMMU 58.1 457 24th
Arena Elo 1266.8 466 22th

FAQ

What score does Llama 4 Scout 8B get on AIME 2025?

Llama 4 Scout 8B scores 50.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Llama 4 Scout 8B rank on AIME 2025?

It ranks #458 of 600 models, in the 24th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Llama 4 Scout 8B 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 8B cost?

Llama 4 Scout 8B costs $1.46 per million input tokens and $6.51 per million output tokens.

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