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| 2 models | sentence-transformersmulti-qa-mpnet-base-dot-v1Remove × | QwenQwen3-Embedding-8BRemove × |
|---|---|---|
| What’s different | We present a sentence transformation model that maps sentences and paragraphs to a 768-dimensional dense vector space, suitable for semantic search tasks. The model is trained on 215 million question-answer… | 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 | Mar 3, 2023Listed | Jun 10, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | $0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 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 | 0.43017 ↗Revision 4e423935; test/defaultContributor reported |
Specifications | ||
| Context window | 512 | 41K |
| Max output | 460 | 32K |
| Parameters | — | 8B |
| Open weights | Supported | Supported |