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| 2 models | nvidiaNemotron-3-Embed-1B-BF16Remove × | QwenQwen3-Embedding-8BRemove × |
|---|---|---|
| What’s different | Nemotron-3-Embed-1B-BF16 is a compact multilingual text embedding model from NVIDIA, pruned and distilled from Ministral-3 to ~1B parameters, that maps text into 2048-dimensional dense vectors for retrieval… | 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 | Jul 15, 2026Listed | Jun 10, 2025Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.01 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗ |
| Provider endpoints | 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 | 0.43017 ↗Revision 4e423935; test/defaultContributor reported |
| FreshStack · MTEB 2.14.3 ↗MTEB 2.14.3; test/default; dataset 7a20df1a | 0.4173 ↗Revision f8801746; test/defaultContributor reported | Not reported |
Specifications | ||
| Context window | 32.8K | 41K |
| Max output | — | 32K |
| Parameters | 1B | 8B |
| Open weights | Not reported | Supported |