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| 3 models | Unknowntext-embedding-3-largeRemove × | QwenQwen3-Embedding-8BRemove × | voyageaiVoyageAI by MongoDB: voyage-4-liteRemove × |
|---|---|---|---|
| What’s different | 8.2K context | 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… | voyage-4-lite is a lightweight, general-purpose embedding model optimized for low latency and cost. Enabled by Matryoshka learning and quantization-aware training, voyage-4-lite supports embeddings in 2048,… |
| Date | Oct 16, 2026Discovered | Jun 10, 2025Listed | Jul 27, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.13 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ | $0.02 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 | 0.43017 ↗Revision 4e423935; test/defaultContributor reported | Not reported |
Specifications | |||
| Context window | 8.2K | 41K | 32K |
| Max output | — | 32K | 28.8K |
| Parameters | — | 8B | — |
| Open weights | Not reported | Supported | Not reported |