MTEB is an AI benchmark used to evaluate model capabilities. Review its overview, metrics, official resources, and model leaderboard results on DataLearnerAI.
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 |
