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| 3 models | intfloatIntfloat: Multilingual-E5-LargeRemove × | topazTopaz Upscale Image CreativeRemove × | QwenQwen3-Embedding-8BRemove × |
|---|---|---|---|
| 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… | Professional creative image upscaling powered by Topaz Labs. Bloom 2 reinvents detail with adjustable creativity and color preservation. Best for AI-generated images that need striking enhancement. | The Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen3… |
| Date | Jun 4, 2024Listed | Aug 11, 2026Listed | Jun 10, 2025Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 0 endpoints → | 1 endpoint → |
Benchmarks Each result retains its evaluation configuration | |||
| FreshStack · MTEB 1.38.43 ↗MTEB 1.38.43; test/default; dataset 7a20df1a | Not reported | Not reported | 0.43017 ↗Revision 4e423935; test/defaultContributor reported |
Specifications | |||
| Context window | 512 | — | 41K |
| Max output | 460 | — | 32K |
| Parameters | — | — | 8B |
| Open weights | Supported | Not reported | Supported |