GPT-NeoX Chat: pricing, context window and benchmarks
GPT-NeoX Chat is a open-weight model from EleutherAI. It offers a 16,384-token context window, costs $1.49 per million input tokens and $7.20 per million output tokens, and averages 60.1 across the index's benchmark suite.
Pricing
GPT-NeoX Chat costs $1.49 per million input tokens and $7.20 per million output tokens. A blended 3:1 input-to-output mix works out to about $2.92 per million tokens. Cached input is listed at $0.17 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.49 | per 1M tokens |
| Output | $7.20 | per 1M tokens |
| Cached input | $0.17 | per 1M tokens |
| Blended 3:1 | $2.92 | estimate per 1M tokens |
| 1M in + 1M out | $8.69 | 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 | 63.7 | 477 | 21th | |
| GPQA Diamond | 58.0 | 428 | 29th | |
| 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 |
What GPT-NeoX Chat is good for
GPT-NeoX Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $1.49 per million input tokens (hosted list price) and a 16,384-token context window, it is a practical option for teams that want more control than a closed API allows.
Strengths
- Input price of $1.49 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 16,384 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GLM-4.5 7B | Zhipu AI | 8192 | $1.32 | 60.2 |
| GPT-NeoX Chat | EleutherAI | 16384 | $1.49 | 60.1 |
| Llama 3.3 8B | Meta AI | 8192 | $1.26 | 60.1 |
| Llama 4 Scout 7B | Meta AI | 32768 | $1.30 | 60.0 |
| Magistral 8B | Mistral AI | 4096 | $1.33 | 60.0 |
| Kimi K1.5 7B | Moonshot AI | 8192 | $1.35 | 59.9 |
FAQ
How much does GPT-NeoX Chat cost?
GPT-NeoX Chat is listed at $1.49 per million input tokens and $7.20 per million output tokens. Cached input is $0.17 per million tokens. A blended 3:1 input-to-output mix is about $2.92 per million tokens.
What is the context window of GPT-NeoX Chat?
GPT-NeoX Chat has a context window of 16,384 tokens and can emit up to 16,384 output tokens per request in this index.
Is GPT-NeoX Chat open weights?
Yes. GPT-NeoX Chat is listed as an open-weight model under a open weights licence.
How does GPT-NeoX Chat score on benchmarks?
GPT-NeoX Chat averages 60.1 across the scored benchmarks in this index, ranking #449 of 600 models. Its strongest relative result is Arena Elo at 1270.7.
What is GPT-NeoX Chat best for?
GPT-NeoX Chat is an open-weight model, so it can be self-hosted or run through a third-party inference provider. That matters for data residency, fine-tuning and long-run cost control. At $1.49 per million input tokens (hosted list price) and a 16,384-token context window, it is a practical option for teams that want more control than a closed API allows.