Mathematics · EleutherAI

GPT-NeoX 1.5B on AIME 2025: score, rank and what it means

GPT-NeoX 1.5B scores 17.6 on AIME 2025, placing it #598 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
17.6
0–100 scale
Rank
#598
of 600
Percentile
1th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
73.8
points

Score distribution

The chart shows the top 10 models on AIME 2025, with GPT-NeoX 1.5B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, GPT-NeoX 1.5B sits at #598 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 73.8 points. The median model in this index scores 67.6, which puts GPT-NeoX 1.5B below the midpoint.

EleutherAI models average 39.0 on this benchmark. GPT-NeoX 1.5B is 21.4 points below that provider line, so it is a weaker result than the average EleutherAI model.

Among small open-weight models, the average is 41.6. GPT-NeoX 1.5B is 24.0 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 17.6 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 $0.060 per million input tokens, GPT-NeoX 1.5B is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-NeoX 8B EleutherAI 16384 $0.25 43.7
StableLM 2 1.5B Stability AI 16384 $0.13 38.3
Pythia 7B EleutherAI 8192 $0.10 40.7
SmolLM3 1.5B Hugging Face 8192 $0.04 36.8
GPT-NeoX 1.5B EleutherAI 32768 $0.06 36.4
Zephyr 1.5B Hugging Face 32768 $0.10 38.0
Pythia 1.5B EleutherAI 4096 $0.10 35.8

Other benchmarks for GPT-NeoX 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 47.0 598 1th
GPQA Diamond 32.4 598 1th
SWE-bench Verified 18.3 600 1th
HumanEval 37.0 600 1th
MATH-500 35.7 597 1th
LiveCodeBench 22.0 598 1th
IFEval 49.5 600 1th
TruthfulQA 44.3 599 1th
HellaSwag 58.1 598 1th
MMMU 38.6 598 1th
Arena Elo 1112.0 596 1th

FAQ

What score does GPT-NeoX 1.5B get on AIME 2025?

GPT-NeoX 1.5B scores 17.6 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does GPT-NeoX 1.5B rank on AIME 2025?

It ranks #598 of 600 models, in the 1st percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is GPT-NeoX 1.5B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 1.5B cost?

GPT-NeoX 1.5B costs $0.060 per million input tokens and $0.32 per million output tokens.

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