A comprehensive benchmark suite for evaluating text-embedding models across retrieval, classification, clustering, and related tasks.
Browse the latest scores, model modes, release dates, and parameter sizes for MTEB.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Rank | Model | License | |||
|---|---|---|---|---|---|
 Qwen3-Embedding-8B Standard Mode | 70.58 | 2025-06-05 | 8B | Free Commercial | |
Qwen3-Embedding-4B Standard Mode | 69.45 | 2025-06-05 | 4B | Free Commercial | |
 Gemini Embedding 001 Standard Mode | 68.37 | 2025-07-14 | Unknown | Closed | |
4 | Qwen3-Embedding-0.6B Standard Mode | 64.34 | 2025-06-05 | 0.6B | Free Commercial |
5 | EmbeddingGemma - 300M Standard Mode | 61.15 | 2025-09-05 | 0.3B | Free Commercial |
