Qwen3 Embedding
Qwen2| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | |
| Tag | Semantic Search,Knowledge Management,Data Science |
| Launched | |
| Pricing Model | Free |
| Starting Price | |
| Tech used | Google Analytics,Google Tag Manager,Fastly,Hugo,GitHub Pages,Gzip,JSON Schema,OpenGraph,Varnish,HSTS |
| Tag | Customer Communication,Data Science,Data Analysis |
| Global Rank | |
| Country | |
| Month Visit |
| Global Rank | 281748 |
| Country | China |
| Month Visit | 228367 |
Estimated traffic data from Similarweb
Qwen3 Reranker - Boost search accuracy with Qwen3 Reranker. Precisely rank text & find relevant info faster across 100+ languages. Enhance Q&A & text analysis.
Qwen2.5-LLM - Qwen2.5 series language models offer enhanced capabilities with larger datasets, more knowledge, better coding and math skills, and closer alignment to human preferences. Open-source and available via API.
EmbeddingGemma - EmbeddingGemma: On-device, multilingual text embeddings for privacy-first AI apps. Get best-in-class performance & efficiency, even offline.
FastEmbed - FastEmbed is a lightweight, fast, Python library built for embedding generation. We support popular text models. Please open a Github issue if you want us to add a new model.