Side by side
See the difference.
Scores, capabilities and costs for the models you’re considering.
Scroll to compare models →
| 3 models | metaMeta: Muse ImageRemove × | googleembeddinggemma-2Remove × | qwenQwen: Qwen Image 2.1 ProRemove × |
|---|---|---|---|
| What’s different | Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking... | 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 Pro is an image generation and editing model from Qwen, the higher-quality tier of the Qwen Image 2.1 series. Choose it over Qwen Image 2.1 Turbo when... |
| Date | Aug 26, 2026Listed | Oct 8, 2026Listed | Oct 9, 2026Released |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | See provider quotes | $0.046/ imageAlibaba Cloud Int. · via OpenRouter · all routes ↗alibaba · output image · variant=1k |
| Provider endpoints | 0 endpoints → | 0 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | Not reported | 1,056.45 ↗Text-to-image · all categoriesIndependent result95% CI 1,044.45–1,068.45 · n=4,970 |
Specifications | |||
| Context window | 65.5K | 8.2K | 65.5K |
| Max output | 59K | — | 59K |
| Parameters | — | — | — |
| Structured output | Not reported | Not reported | Supported |
| Image input | Supported | Not reported | Supported |