Commonsense · Meta AI

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

Llama 4 Scout Chat scores 87.5 on HellaSwag, placing it #159 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
87.5
0–100 scale
Rank
#159
of 600
Percentile
74th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
8.6
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Llama 4 Scout Chat 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 Chat sits at #159 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 8.6 points. The median model in this index scores 83.6, which puts Llama 4 Scout Chat above the midpoint.

Meta AI models average 80.6 on this benchmark. Llama 4 Scout Chat is 6.9 points above that provider line, so it is a stronger result than the average Meta AI model.

Among multimodal models, the average is 86.8. Llama 4 Scout Chat is 0.7 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 87.5 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 $4.66 per million input tokens, Llama 4 Scout Chat is above 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
o4 Mini OpenAI 200000 $11.92 77.7
Claude 3.7 Sonnet Anthropic 200000 $14.91 81.6
Command A Reasoning Cohere 400000 $13.74 80.2
Nova Pro Amazon 32768 $12.75 79.4
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0
Yi-Lightning 01.AI 32768 $4.22 77.2
Codestral Instruct Mistral AI 65536 $4.01 75.1

Other benchmarks for Llama 4 Scout Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.2 204 66th
GPQA Diamond 77.1 104 83th
SWE-bench Verified 65.3 208 65th
HumanEval 83.2 158 74th
MATH-500 80.3 204 66th
AIME 2025 76.8 132 78th
LiveCodeBench 68.3 222 63th
IFEval 85.4 177 71th
TruthfulQA 78.7 229 62th
MMMU 76.4 128 79th
Arena Elo 1407.5 188 69th

FAQ

What score does Llama 4 Scout Chat get on HellaSwag?

Llama 4 Scout Chat scores 87.5 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Llama 4 Scout Chat rank on HellaSwag?

It ranks #159 of 600 models, in the 74th percentile. The leader is GPT-5.2 Max at 96.1.

Is Llama 4 Scout Chat good at HellaSwag?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 Chat cost?

Llama 4 Scout Chat costs $4.66 per million input tokens and $18.41 per million output tokens.

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