GPT-NeoX 1.5B on MMMU: score, rank and what it means
GPT-NeoX 1.5B scores 38.6 on MMMU, placing it #598 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with GPT-NeoX 1.5B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, GPT-NeoX 1.5B sits at #598 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 48.3 points. The median model in this index scores 70.0, which puts GPT-NeoX 1.5B below the midpoint.
EleutherAI models average 50.0 on this benchmark. GPT-NeoX 1.5B is 11.4 points below that provider line, so it is a weaker result than the average EleutherAI model.
Among small open-weight models, the average is 52.4. GPT-NeoX 1.5B is 13.8 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 38.6 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 MMMU. 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 |
|---|---|---|---|---|
| SmolLM3 7B | Hugging Face | 16384 | $0.19 | 44.3 |
| StableLM 2 1.5B | Stability AI | 16384 | $0.13 | 38.3 |
| Zephyr 1.5B | Hugging Face | 32768 | $0.10 | 38.0 |
| Pythia 7B | EleutherAI | 8192 | $0.10 | 40.7 |
| GPT-NeoX 1.5B | EleutherAI | 32768 | $0.06 | 36.4 |
| SmolLM3 1.5B | Hugging Face | 8192 | $0.04 | 36.8 |
| Pythia 1.5B | EleutherAI | 4096 | $0.10 | 35.8 |
Other benchmarks for GPT-NeoX 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| 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 | |
| AIME 2025 | 17.6 | 598 | 1th | |
| LiveCodeBench | 22.0 | 598 | 1th | |
| IFEval | 49.5 | 600 | 1th | |
| TruthfulQA | 44.3 | 599 | 1th | |
| HellaSwag | 58.1 | 598 | 1th | |
| Arena Elo | 1112.0 | 596 | 1th |
FAQ
What score does GPT-NeoX 1.5B get on MMMU?
GPT-NeoX 1.5B scores 38.6 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does GPT-NeoX 1.5B rank on MMMU?
It ranks #598 of 600 models, in the 1st percentile. The leader is GPT-5.2 Max at 86.9.
Is GPT-NeoX 1.5B good at MMMU?
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 MMMU score calculated?
MMMU is a multimodal 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.