Reasoning · EleutherAI

GPT-NeoX Chat on GPQA Diamond: score, rank and what it means

GPT-NeoX Chat scores 58.0 on GPQA Diamond, placing it #428 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
58.0
0–100 scale
Rank
#428
of 600
Percentile
29th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
29.0
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, GPT-NeoX Chat sits at #428 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 29.0 points. The median model in this index scores 68.8, which puts GPT-NeoX Chat below the midpoint.

EleutherAI models average 47.3 on this benchmark. GPT-NeoX Chat is 10.7 points above that provider line, so it is a stronger result than the average EleutherAI model.

Among open-weight models, the average is 63.6. GPT-NeoX Chat is 5.6 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 58.0 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Pythia Instruct EleutherAI 8192 $1.41 60.8
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
DeepSeek-R1 8B DeepSeek 16384 $1.87 64.3
GLM-4.6 7B Zhipu AI 16384 $1.52 61.8
GPT-NeoX Chat EleutherAI 16384 $1.49 60.1
StableLM 2 Stability AI 8192 $1.91 65.0
Nemotron Nano Base NVIDIA 8192 $1.85 65.0

Other benchmarks for GPT-NeoX Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.7 477 21th
SWE-bench Verified 47.7 440 27th
HumanEval 63.1 458 24th
MATH-500 63.0 436 27th
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 GPQA Diamond?

GPT-NeoX Chat scores 58.0 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does GPT-NeoX Chat rank on GPQA Diamond?

It ranks #428 of 600 models, in the 29th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is GPT-NeoX Chat good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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