Reasoning · Meta AI

Llama 4 Scout 8B on GPQA Diamond: score, rank and what it means

Llama 4 Scout 8B scores 58.9 on GPQA Diamond, placing it #418 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
58.9
0–100 scale
Rank
#418
of 600
Percentile
30th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
28.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 4 Scout 8B highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Llama 4 Scout 8B sits at #418 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 28.1 points. The median model in this index scores 68.8, which puts Llama 4 Scout 8B below the midpoint.

Meta AI models average 64.6 on this benchmark. Llama 4 Scout 8B is 5.7 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 49.3. Llama 4 Scout 8B is 9.6 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 58.9 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Embed 4 Max Cohere 8192 $5.68 66.1
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Reka Flash Nano Reka AI 16384 $3.93 61.0
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2
GPT-NeoX Instruct EleutherAI 16384 $1.52 62.6

Other benchmarks for Llama 4 Scout 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.5 425 29th
SWE-bench Verified 48.1 436 27th
HumanEval 66.3 426 29th
MATH-500 62.7 439 27th
AIME 2025 50.2 458 24th
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 GPQA Diamond?

Llama 4 Scout 8B scores 58.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 4 Scout 8B rank on GPQA Diamond?

It ranks #418 of 600 models, in the 30th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 4 Scout 8B good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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