Reasoning · Meta AI

Llama 4 Scout 7B on GPQA Diamond: score, rank and what it means

Llama 4 Scout 7B scores 53.9 on GPQA Diamond, placing it #483 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
53.9
0–100 scale
Rank
#483
of 600
Percentile
20th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
33.1
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Llama 4 Scout 7B 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 7B sits at #483 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 33.1 points. The median model in this index scores 68.8, which puts Llama 4 Scout 7B below the midpoint.

Meta AI models average 64.6 on this benchmark. Llama 4 Scout 7B is 10.7 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 7B 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 53.9 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 $1.30 per million input tokens, Llama 4 Scout 7B 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 3 DeepInfra 7B DeepInfra 16384 $0.95 55.6
Codestral 7B Mistral AI 32768 $1.05 57.0
DeepSeek-Coder 8B DeepSeek 32768 $1.26 58.7
Gemma 3 7B Google DeepMind 32768 $0.90 55.9
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Llama 3 Anyscale 8B Anyscale 32768 $0.97 57.3
Llama 3 Lambda 8B Lambda 4096 $1.03 57.2

Other benchmarks for Llama 4 Scout 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.3 484 19th
SWE-bench Verified 45.9 454 24th
HumanEval 61.2 483 20th
MATH-500 61.4 449 25th
AIME 2025 53.1 433 28th
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 GPQA Diamond?

Llama 4 Scout 7B scores 53.9 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Llama 4 Scout 7B rank on GPQA Diamond?

It ranks #483 of 600 models, in the 20th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Llama 4 Scout 7B 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 7B cost?

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

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