Commonsense · EleutherAI

GPT-NeoX 7B on HellaSwag: score, rank and what it means

GPT-NeoX 7B scores 64.1 on HellaSwag, placing it #589 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
64.1
0–100 scale
Rank
#589
of 600
Percentile
2th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
32.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with GPT-NeoX 7B 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 7B sits at #589 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 32.0 points. The median model in this index scores 83.6, which puts GPT-NeoX 7B below the midpoint.

EleutherAI models average 68.1 on this benchmark. GPT-NeoX 7B is 4.0 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 70.2. GPT-NeoX 7B is 6.1 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 64.1 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 $0.20 per million input tokens, GPT-NeoX 7B 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
Mixtral 1.5B Mistral AI 16384 $0.36 47.7
Zephyr 8B Hugging Face 8192 $0.22 43.0
Zephyr 7B Hugging Face 32768 $0.23 42.5
OLMo 2 1.5B Allen Institute for AI 16384 $0.28 44.0
GPT-NeoX 7B EleutherAI 8192 $0.20 42.4
Arctic 1.5B Snowflake 32768 $0.15 43.2
Molmo 1.5B Allen Institute for AI 8192 $0.21 42.8

Other benchmarks for GPT-NeoX 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 48.5 595 1th
GPQA Diamond 37.1 594 1th
SWE-bench Verified 26.4 590 2th
HumanEval 43.7 592 1th
MATH-500 42.9 587 2th
AIME 2025 28.9 586 2th
LiveCodeBench 24.0 595 1th
IFEval 56.4 587 2th
TruthfulQA 52.4 585 3th
MMMU 42.3 588 2th
Arena Elo 1130.2 593 1th

FAQ

What score does GPT-NeoX 7B get on HellaSwag?

GPT-NeoX 7B scores 64.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does GPT-NeoX 7B rank on HellaSwag?

It ranks #589 of 600 models, in the 2nd percentile. The leader is GPT-5.2 Max at 96.1.

Is GPT-NeoX 7B 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 7B cost?

GPT-NeoX 7B costs $0.20 per million input tokens and $0.89 per million output tokens.

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