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| 3 models | intfloatIntfloat: Multilingual-E5-LargeRemove × | bytedance-seedByteDance Seed: Seedream 5.0 ProRemove × | googleembeddinggemma-2Remove × |
|---|---|---|---|
| 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… | Choose standard or fast prompt enhancement; accepts extreme aspect ratios up to 16:1 within a 2K-square pixel budget. | 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,… |
| Date | Jun 4, 2024Listed | Jul 8, 2026Released | Oct 8, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.0675/ imagefal · all routes ↗Area ≤ 1536x1536 pixels | See provider quotes |
| Provider endpoints | 1 endpoint → | 2 endpoints → | 0 endpoints → |
Benchmarks Each result retains its evaluation configuration | |||
| AA Image ↗2.1 | Not reported | 1,100.01 ↗Text-to-image · all categoriesIndependent result95% CI 1,089.01–1,111.01 · n=11,391 | Not reported |
Specifications | |||
| Context window | 512 | — | 8.2K |
| Max output | 460 | — | — |
| Parameters | — | — | — |
| Image input | Not reported | Supported | Not reported |
| Open weights | Supported | Not reported | Not reported |