Open-weight versus proprietary license mix
How the index splits between open-weight and proprietary models, with average benchmark score and median input price for each group.
What the data shows
371 models are open weights and 229 are proprietary. The open group has a lower median input price but also a wider range of quality.
Licence terms vary inside the open group. 'Open weights' does not always mean permissive commercial use.
How to read it
- Read the specific licence, not just the label.
- Check commercial-use restrictions.
- Compare self-hosted cost with API price.
- Confirm attribution requirements.
License mix
| License | Models | Avg score | Median input |
|---|---|---|---|
| Open weights | 371 | 65.3 | $2.33 |
| Proprietary | 229 | 77.3 | $13.01 |
Methodology
This story uses the AI & LLM Index dataset: 600 models, 40 providers and 12 benchmarks. Prices are listed per million tokens. Scores are modelled estimates on a 0–100 scale and are not official benchmark results. Figures are rounded for readability.
Related
FAQ
What does the Open-weight versus proprietary license mix data show?
How the index splits between open-weight and proprietary models, with average benchmark score and median input price for each group.
Are the numbers official?
No. Prices and scores are compiled for this demo index. Benchmark values are modelled estimates, not official results. Verify figures with the provider or benchmark owner before making decisions.
How should I use this ranking?
Use it to form a shortlist. Check the specific model pages, compare price and context, and test the shortlist on your own examples before committing.