Approved models
13
Records published from this collection
Provider information
lab
Review approach
Verify each model’s source, terms, capabilities, and current availability
openai models in this directory cover automatic speech recognition, zero-shot image classification, text generation, text-to-3d, token classification. Start with the task you need to solve, then open a model profile to check its recorded inputs, outputs, licensing and deployment options.
Use inputs that resemble deployment traffic, including difficult and out-of-domain cases. Compare output correctness, the response format, latency and memory requirements with a simple baseline under the same conditions. Open-weight checkpoints need a runtime and enough memory for the exact format you select; a repository listing alone does not provide a hosted API.
Check whether two entries describe distinct models or different hosted routes for the same model. Keep the checkpoint, host, test settings and evaluation date together. Missing prices and limits mean the directory has no recorded figure, not that use is free or unlimited.
Browse the AI model directory or compare two models.
Review each record individually; collection membership does not imply a recommendation or guarantee of availability.
| openai/gpt-oss-120b openai | 50.9 | 131.07K | $0.228 | $0.798 | — |
| openai/gpt-oss-20b openai | 50.9 | 131.07K | $0.00 | $0.00 | — |
| openai/whisper-large-v3-turbo openai | 6.3 | — | — | — | — |
| openai/whisper-large-v3 openai | 6.6 | — | $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/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 | — | — | — | — |
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About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is 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.