Commonsense · Meta AI

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

Llama 4 Scout 8B scores 73.7 on HellaSwag, placing it #462 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
73.7
0–100 scale
Rank
#462
of 600
Percentile
23th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
22.4
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Llama 4 Scout 8B sits at #462 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 22.4 points. The median model in this index scores 83.6, which puts Llama 4 Scout 8B below the midpoint.

Meta AI models average 80.6 on this benchmark. Llama 4 Scout 8B is 6.9 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 70.2. Llama 4 Scout 8B is 3.5 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 73.7 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Firefunction Nano Fireworks AI 16384 $3.07 58.1
Pythia Instruct EleutherAI 8192 $1.41 60.8
Llama 3 Anyscale 7B Anyscale 4096 $0.98 56.2
Llama 3.1 Cerebras 7B Cerebras 32768 $0.95 56.5
Llama 4 Scout 8B Meta AI 8192 $1.46 61.2
MiniMax-Text 7B MiniMax 16384 $1.10 57.7
SmolLM3 Base Hugging Face 16384 $1.38 60.4

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
AIME 2025 50.2 458 24th
LiveCodeBench 49.7 452 25th
IFEval 71.8 430 28th
TruthfulQA 65.8 446 26th
MMMU 58.1 457 24th
Arena Elo 1266.8 466 22th

FAQ

What score does Llama 4 Scout 8B get on HellaSwag?

Llama 4 Scout 8B scores 73.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Llama 4 Scout 8B rank on HellaSwag?

It ranks #462 of 600 models, in the 23rd percentile. The leader is GPT-5.2 Max at 96.1.

Is Llama 4 Scout 8B good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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