Commonsense · EleutherAI

GPT-NeoX on HellaSwag: score, rank and what it means

GPT-NeoX scores 75.0 on HellaSwag, placing it #442 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
75.0
0–100 scale
Rank
#442
of 600
Percentile
26th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
21.1
points

Score distribution

The chart shows the top 10 models on HellaSwag, with GPT-NeoX 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, GPT-NeoX sits at #442 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 21.1 points. The median model in this index scores 83.6, which puts GPT-NeoX below the midpoint.

EleutherAI models average 68.1 on this benchmark. GPT-NeoX is 6.9 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 80.2. GPT-NeoX is 5.2 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 75.0 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 $1.57 per million input tokens, GPT-NeoX 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
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Nova Lite Nano Amazon 8192 $3.29 59.5
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
Sonar Nano Perplexity 4096 $4.37 61.9
GPT-NeoX EleutherAI 16384 $1.57 61.7
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1

Other benchmarks for GPT-NeoX

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.6 422 30th
GPQA Diamond 54.6 468 22th
SWE-bench Verified 46.4 449 25th
HumanEval 64.9 442 26th
MATH-500 64.0 425 29th
AIME 2025 55.8 411 32th
LiveCodeBench 52.7 418 30th
IFEval 69.8 464 23th
TruthfulQA 67.6 422 30th
MMMU 60.5 424 29th
Arena Elo 1277.8 448 25th

FAQ

What score does GPT-NeoX get on HellaSwag?

GPT-NeoX scores 75.0 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does GPT-NeoX rank on HellaSwag?

It ranks #442 of 600 models, in the 26th percentile. The leader is GPT-5.2 Max at 96.1.

Is GPT-NeoX 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 GPT-NeoX cost?

GPT-NeoX costs $1.57 per million input tokens and $7.57 per million output tokens.

Related