GPT-NeoX 7B on GPQA Diamond: score, rank and what it means
GPT-NeoX 7B scores 37.1 on GPQA Diamond, placing it #594 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with GPT-NeoX 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 7B sits at #594 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 49.9 points. The median model in this index scores 68.8, which puts GPT-NeoX 7B below the midpoint.
EleutherAI models average 47.3 on this benchmark. GPT-NeoX 7B is 10.2 points below that provider line, so it is a weaker result than the average EleutherAI model.
Among small open-weight models, the average is 49.3. GPT-NeoX 7B is 12.2 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 37.1 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Nemotron Nano 1.5B | NVIDIA | 8192 | $0.10 | 41.5 |
| Phi-3.5 1.5B | Microsoft | 32768 | $0.25 | 44.5 |
| Pythia 8B | EleutherAI | 32768 | $0.16 | 41.4 |
| Zephyr 7B | Hugging Face | 32768 | $0.23 | 42.5 |
| GPT-NeoX 7B | EleutherAI | 8192 | $0.20 | 42.4 |
| Zephyr 1.5B | Hugging Face | 32768 | $0.10 | 38.0 |
| Pythia 7B | EleutherAI | 8192 | $0.10 | 40.7 |
Other benchmarks for GPT-NeoX 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 48.5 | 595 | 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 | |
| HellaSwag | 64.1 | 589 | 2th | |
| MMMU | 42.3 | 588 | 2th | |
| Arena Elo | 1130.2 | 593 | 1th |
FAQ
What score does GPT-NeoX 7B get on GPQA Diamond?
GPT-NeoX 7B scores 37.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does GPT-NeoX 7B rank on GPQA Diamond?
It ranks #594 of 600 models, in the 1st percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is GPT-NeoX 7B 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 7B cost?
GPT-NeoX 7B costs $0.20 per million input tokens and $0.89 per million output tokens.