Mathematics · EleutherAI

GPT-NeoX Chat on MATH-500: score, rank and what it means

GPT-NeoX Chat scores 63.0 on MATH-500, placing it #436 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
63.0
0–100 scale
Rank
#436
of 600
Percentile
27th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
33.7
points

Score distribution

The chart shows the top 10 models on MATH-500, with GPT-NeoX Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, GPT-NeoX Chat sits at #436 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 33.7 points. The median model in this index scores 76.0, which puts GPT-NeoX Chat below the midpoint.

EleutherAI models average 52.0 on this benchmark. GPT-NeoX Chat is 11.0 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 70.8. GPT-NeoX Chat is 7.8 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 63.0 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 $1.49 per million input tokens, GPT-NeoX Chat is below the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Fusion Mini OpenRouter 4096 $4.89 63.3
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2
Mistral Large 3 7B Mistral AI 32768 $1.44 61.1
Firefunction Mini Fireworks AI 32768 $4.63 63.2
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9

Other benchmarks for GPT-NeoX Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.7 477 21th
GPQA Diamond 58.0 428 29th
SWE-bench Verified 47.7 440 27th
HumanEval 63.1 458 24th
AIME 2025 51.0 451 25th
LiveCodeBench 48.8 457 24th
IFEval 70.4 452 25th
TruthfulQA 64.9 459 24th
HellaSwag 73.4 471 22th
MMMU 57.6 462 23th
Arena Elo 1270.7 457 24th

FAQ

What score does GPT-NeoX Chat get on MATH-500?

GPT-NeoX Chat scores 63.0 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does GPT-NeoX Chat rank on MATH-500?

It ranks #436 of 600 models, in the 27th percentile. The leader is GPT-5.2 Max at 96.7.

Is GPT-NeoX Chat good at MATH-500?

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 MATH-500 score calculated?

MATH-500 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 Chat cost?

GPT-NeoX Chat costs $1.49 per million input tokens and $7.20 per million output tokens.

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