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| 3 models | briaExtract ObjectRemove × | googleembeddinggemma-2Remove × | qwenQwen: Qwen Image 2.1 TurboRemove × |
|---|---|---|---|
| What’s different | Bria Extract Object uses text prompts to isolate a selected object from an image and return it as an RGBA PNG with a transparent background. Ideal for product, ecommerce, advertising, and creative editing… | EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,… | Qwen Image 2.1 Turbo is the fast, lower-cost tier of the Qwen Image 2.1 series from Qwen, for image generation and editing where throughput and price matter more than peak... |
| Date | Jun 28, 2026Listed | Oct 8, 2026Listed | Oct 9, 2026Released |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.02/ imagefal · all routes ↗ | See provider quotes | $0.0184/ imageAlibaba Cloud Int. · via OpenRouter · all routes ↗alibaba · output image · variant=1k |
| Provider endpoints | 1 endpoint → | 0 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | Not reported | 1,028.57 ↗Text-to-image · all categoriesIndependent result95% CI 1,016.57–1,040.57 · n=4,625 |
Specifications | |||
| Context window | — | 8.2K | 65.5K |
| Max output | — | — | 59K |
| Parameters | — | — | — |
| Structured output | Not reported | Not reported | Supported |
| Image input | Not reported | Not reported | Supported |