Coding · EleutherAI

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

GPT-NeoX scores 64.9 on HumanEval, placing it #442 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
64.9
0–100 scale
Rank
#442
of 600
Percentile
26th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
31.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with GPT-NeoX highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, GPT-NeoX sits at #442 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 31.9 points. The median model in this index scores 77.4, which puts GPT-NeoX below the midpoint.

EleutherAI models average 54.0 on this benchmark. GPT-NeoX is 10.9 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 72.4. GPT-NeoX is 7.5 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 64.9 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8
Llama 4 Maverick 7B Meta AI 4096 $1.52 61.9
Zephyr Instruct Hugging Face 4096 $1.66 62.4
GPT-NeoX EleutherAI 16384 $1.57 61.7
Zephyr Base Hugging Face 4096 $1.26 59.5
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1

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
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
HellaSwag 75.0 442 26th
MMMU 60.5 424 29th
Arena Elo 1277.8 448 25th

FAQ

What score does GPT-NeoX get on HumanEval?

GPT-NeoX scores 64.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does GPT-NeoX rank on HumanEval?

It ranks #442 of 600 models, in the 26th percentile. The leader is GPT-5.2 Pro at 96.8.

Is GPT-NeoX good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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.

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