Commonsense · Meta AI

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

Llama 4 Maverick 8B scores 76.7 on HellaSwag, placing it #418 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
76.7
0–100 scale
Rank
#418
of 600
Percentile
30th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
19.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Llama 4 Maverick 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 Maverick 8B sits at #418 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 19.4 points. The median model in this index scores 83.6, which puts Llama 4 Maverick 8B below the midpoint.

Meta AI models average 80.6 on this benchmark. Llama 4 Maverick 8B is 3.9 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 Maverick 8B is 6.5 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 76.7 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 $1.64 per million input tokens, Llama 4 Maverick 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
Command A Nano Cohere 8192 $5.90 66.3
Embed 4 Turbo Cohere 4096 $5.13 64.0
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
Embed 4 Max Cohere 8192 $5.68 66.1
Llama 4 Maverick 8B Meta AI 4096 $1.64 63.4
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
Embed 4 Reasoning Cohere 4096 $5.50 65.3

Other benchmarks for Llama 4 Maverick 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.6 400 33th
GPQA Diamond 57.2 436 27th
SWE-bench Verified 52.1 404 33th
HumanEval 67.5 417 31th
MATH-500 64.2 423 30th
AIME 2025 54.3 421 30th
LiveCodeBench 51.2 437 27th
IFEval 72.6 423 30th
TruthfulQA 69.8 403 33th
MMMU 62.6 403 33th
Arena Elo 1281.1 441 27th

FAQ

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

Llama 4 Maverick 8B scores 76.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Llama 4 Maverick 8B rank on HellaSwag?

It ranks #418 of 600 models, in the 30th percentile. The leader is GPT-5.2 Max at 96.1.

Is Llama 4 Maverick 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 Maverick 8B cost?

Llama 4 Maverick 8B costs $1.64 per million input tokens and $8.15 per million output tokens.

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