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| 3 models | intfloatIntfloat: Multilingual-E5-LargeRemove × | googleGoogle: Gemini Embedding 2Remove × | ideogramIdeogram V4.5 Text to ImageRemove × |
|---|---|---|---|
| What’s different | 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… | Gemini Embedding 2 is Google's first multimodal embedding model. We currently support mapping text and images into a unified vector space for semantic search and retrieval-augmented generation (RAG). It… | Generate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers. |
| Date | Jun 4, 2024Listed | May 20, 2026Listed | Sep 30, 2026Released |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.20 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes |
| Provider endpoints | 1 endpoint → | 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 | 512 | 8.2K | — |
| Max output | 460 | 7.4K | — |
| Parameters | — | — | — |
| Image input | Not reported | Supported | Not reported |
| Audio input | Not reported | Supported | Not reported |
| Video input | Not reported | Supported | Not reported |
| Open weights | Supported | Not reported | Not reported |