GPT-NeoX 7B: pricing, context window and benchmarks
GPT-NeoX 7B is a small open-weight model from EleutherAI. It offers a 8,192-token context window, costs $0.20 per million input tokens and $0.89 per million output tokens, and averages 42.4 across the index's benchmark suite.
Pricing
GPT-NeoX 7B costs $0.20 per million input tokens and $0.89 per million output tokens. A blended 3:1 input-to-output mix works out to about $0.37 per million tokens. Cached input is listed at $0.02 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.20 | per 1M tokens |
| Output | $0.89 | per 1M tokens |
| Cached input | $0.02 | per 1M tokens |
| Blended 3:1 | $0.37 | estimate per 1M tokens |
| 1M in + 1M out | $1.09 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 48.5 | 595 | 1th | |
| GPQA Diamond | 37.1 | 594 | 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 |
What GPT-NeoX 7B is good for
GPT-NeoX 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.20 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.20 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 8,192 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Arctic 1.5B | Snowflake | 32768 | $0.15 | 43.2 |
| Zephyr 8B | Hugging Face | 8192 | $0.22 | 43.0 |
| Molmo 1.5B | Allen Institute for AI | 8192 | $0.21 | 42.8 |
| Zephyr 7B | Hugging Face | 32768 | $0.23 | 42.5 |
| GPT-NeoX 7B | EleutherAI | 8192 | $0.20 | 42.4 |
| Nemotron Nano 1.5B | NVIDIA | 8192 | $0.10 | 41.5 |
FAQ
How much does GPT-NeoX 7B cost?
GPT-NeoX 7B is listed at $0.20 per million input tokens and $0.89 per million output tokens. Cached input is $0.018 per million tokens. A blended 3:1 input-to-output mix is about $0.37 per million tokens.
What is the context window of GPT-NeoX 7B?
GPT-NeoX 7B has a context window of 8,192 tokens and can emit up to 4,096 output tokens per request in this index.
Is GPT-NeoX 7B open weights?
Yes. GPT-NeoX 7B is listed as an open-weight model under a open weights licence.
How does GPT-NeoX 7B score on benchmarks?
GPT-NeoX 7B averages 42.4 across the scored benchmarks in this index, ranking #592 of 600 models. Its strongest relative result is Arena Elo at 1130.2.
What is GPT-NeoX 7B best for?
GPT-NeoX 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.20 per million input tokens it can handle a large share of production traffic.