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| 3 models | intfloatmultilingual-e5-large-instructRemove × | cloudflareCloudflare: Clef FlashRemove × | QwenQwen3-Embedding-8BRemove × |
|---|---|---|---|
| What’s different | The Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”… | Small decision model for routing and scoring; the Workers AI route currently reads only roughly the first 2K text-state tokens. | 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 | Apr 17, 2025Listed | Oct 1, 2026Listed | Jun 10, 2025Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | $0.038 in / $0.00 out/ 1M tokensDeepInfra · all routes ↗ | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 0 endpoints → | 2 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 | 24.6K | 41K |
| Max output | — | 22.1K | 32K |
| Parameters | — | — | 8B |
| Image input | Not reported | Supported | Not reported |
| Open weights | Not reported | Supported | Supported |