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| 3 models | googleembeddinggemma-300mRemove × | intfloatIntfloat: Multilingual-E5-LargeRemove × | ideogramIdeogram V4.5 Text to ImageRemove × |
|---|---|---|---|
| What’s different | EmbeddingGemma is a 300M parameter multilingual open embedding model from Google DeepMind, designed for efficient deployment even on low-resource devices, producing high-quality text vector representations… | The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized… | Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers. |
| Date | Sep 16, 2025Listed | Jun 4, 2024Listed | Sep 30, 2026Released |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 0 endpoints → | 1 endpoint → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | 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 | 2K | 512 | — |
| Max output | — | 460 | — |
| Parameters | 300M | — | — |
| Open weights | Not reported | Supported | Not reported |