Approved models
13
Records published from this collection
Provider information
lab
Review approach
Verify each model’s source, terms, capabilities, and current availability
openai is recorded as the provider or repository publisher for 13 model records in this editorial directory. The collection brings those records together for research, task discovery, and careful comparison.
Provider grouping is not a statement about current API availability, pricing, commercial support, or which model is best. Those details can vary by release and host, so each model page preserves source links and leaves unknown information unfilled rather than inferred.
Review the individual record for licenses, modalities, limits, deployment requirements, and evaluation evidence. Approval controls whether this collection and its models can be visible to search engines or included in the sitemap.
Review each record individually; collection membership does not imply a recommendation or guarantee of availability.
| Model | Capability▼ | Context | Input $/1M | Output $/1M | Speed |
|---|---|---|---|---|---|
| openai/gpt-oss-120b openai | 50.9 | 131.1K | $0.23 | $0.80 | — |
| openai/gpt-oss-20b openai | 50.9 | 131.1K | $0.00 | $0.00 | — |
| openai/clip-vit-base-patch16 openai | 10.0 | — | — | — | — |
| openai/clip-vit-base-patch32 openai | 10.0 | — | — | — | — |
| openai/clip-vit-large-patch14 openai | 10.0 | — | — | — | — |
| openai/clip-vit-large-patch14-336 openai | 10.0 | — | — | — | — |
| openai/whisper-large-v3 openai | 6.6 | 0 | $0.00 | $0.00 | — |
| openai/whisper-large-v3-turbo openai | 6.3 | 0 | — | — | — |
| openai/privacy-filter openai | 5.0 | — | — | — | — |
| openai/shap-e openai | 5.0 | — | — | — | — |
| openai/whisper-base openai | 5.0 | — | — | — | — |
| openai/whisper-small openai | 5.0 | — | — | — | — |
| openai/whisper-tiny openai | 5.0 | — | — | — | — |
13 models · click a column to sort
About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.