Commonsense · Meta AI

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

Llama 4 Scout Base scores 83.6 on HellaSwag, placing it #300 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
83.6
0–100 scale
Rank
#300
of 600
Percentile
50th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
12.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Llama 4 Scout Base 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 Base sits at #300 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 12.5 points. The median model in this index scores 83.6, which puts Llama 4 Scout Base above the midpoint.

Meta AI models average 80.6 on this benchmark. Llama 4 Scout Base is 3.0 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 Base is 3.2 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 83.6 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 $3.95 per million input tokens, Llama 4 Scout Base 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
Seed-OSS Base ByteDance 16384 $3.14 72.2
Arctic Instruct Snowflake 65536 $2.83 70.6
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
Llama 3 DeepInfra Chat DeepInfra 200000 $3.74 75.0
Llama 4 Scout Base Meta AI 32768 $3.95 75.3
Sonar Turbo Perplexity 65536 $10.71 75.7
Auto Max OpenRouter 8192 $8.41 71.2

Other benchmarks for Llama 4 Scout Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 158 74th
GPQA Diamond 70.5 251 58th
SWE-bench Verified 65.1 213 65th
HumanEval 81.1 211 65th
MATH-500 78.4 250 58th
AIME 2025 68.2 293 51th
LiveCodeBench 67.6 234 61th
IFEval 82.3 268 55th
TruthfulQA 79.8 189 69th
MMMU 71.5 257 57th
Arena Elo 1395.6 225 63th

FAQ

What score does Llama 4 Scout Base get on HellaSwag?

Llama 4 Scout Base scores 83.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Llama 4 Scout Base rank on HellaSwag?

It ranks #300 of 600 models, in the 50th percentile. The leader is GPT-5.2 Max at 96.1.

Is Llama 4 Scout Base 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 Base cost?

Llama 4 Scout Base costs $3.95 per million input tokens and $18.97 per million output tokens.

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