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| 2 models | openaiclip-vit-base-patch32Remove × | ideogramIdeogram V4.5 Text to ImageRemove × |
|---|---|---|
| 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. |
| Date | May 2, 2023Listed | Sep 30, 2026Released |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | See provider quotes |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | ||
| AA Image ↗2.1 | Not reported | 1,015.68 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.68–1,030.68 · n=2,634 |
Specifications | ||
| Context window | — | — |
| Max output | — | — |
| Parameters | — | — |