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| 3 models | openaiclip-vit-base-patch32Remove × | ideogramIdeogram V4.5 Text to ImageRemove × | AlibabaQwen-Image-2.1Remove × |
|---|---|---|---|
| What’s different | The CLIP model was developed by OpenAI to investigate the robustness of computer vision models. It uses a Vision Transformer architecture and was trained on a large dataset of image-caption pairs. The model… | Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers. | Open weights |
| Date | May 2, 2023Listed | Sep 30, 2026Released | Sep 20, 2026Released |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | See provider quotes | See provider quotes |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 0 endpoints → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | 1,015.07 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.07–1,030.07 · n=2,888 | 1,042.13 ↗Text-to-image · all categoriesIndependent result95% CI 1,030.13–1,054.13 · n=5,712 |
Specifications | |||
| Context window | — | — | — |
| Max output | — | — | — |
| Parameters | — | — | — |
| Open weights | Not reported | Not reported | Supported |