Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 2 models | openaiclip-vit-base-patch32Remove × | black-forest-labsBlack Forest Labs: FLUX 3 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… | FLUX.3 Image is Black Forest Labs' flagship image generation and editing model. It handles text-to-image and multi-reference editing with up to 10 input images, and renders at fixed resolution tiers... |
| Date | May 2, 2023Listed | Oct 1, 2026Released |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.041/ imageBlack Forest Labs · via OpenRouter · all routes ↗black-forest-labs · output image · variant=768 |
| Provider endpoints | 0 endpoints → | 2 endpoints → |
Benchmarks Each result retains its evaluation configuration | ||
| AA Image ↗2.1 | Not reported | 1,117.15 ↗Text-to-image · all categoriesIndependent result95% CI 1,105.15–1,129.15 · n=6,115 |
Specifications | ||
| Context window | — | 46.9K |
| Max output | — | 42.2K |
| Parameters | — | — |
| Image input | Not reported | Supported |