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| 3 models | intfloatIntfloat: Multilingual-E5-LargeRemove × | briaBria Increase Resolution: Upscale Images up to 4x Without Losing Detail | falRemove × | 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… | Upscale any image 2x or 4x, up to 8192×8192, with Bria Increase Resolution. Preserves the original content — no regeneration, no altered details. Commercial-safe | 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 | Sep 7, 2026Listed | Jun 10, 2025Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.04/ imagefal · all routes ↗ | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 1 endpoint → | 1 endpoint → | 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 |