Qwen3-Embedding
What ChatGPT, Claude, Gemini & Grok actually say · July 2026
The verdict
Qwen3-Embedding appears in 1 AI-ranked category.
The open-weights leader — 8B variant sits at/near the top of MTEB overall, 100+ languages, instruction-aware, sizes down to 0.6B for edge use; free to self-host with zero per-token cost or data egress, and available as a cheap hosted API via DeepInfra/Together/Fireworks for those who don't want infra
Gemini The premier open-weights text embedding model series with support for 100+ languages, instruction-aware embeddings, and the ability to self-host to keep sensitive data within a secure network boundary.
Where Qwen3-Embedding falls short, per the models
- Claude Not for teams who just want a managed endpoint with SLAs — self-hosting means owning GPU serving, batching, and version upgrades, and third-party hosts vary in reliability
- Gemini Requires substantial GPU memory (up to 8B parameters) and operational overhead to host locally at production scale.
Top alternatives per the models: Voyage AI · Google Gemini Embedding · Cohere Embed · OpenAI
Rankings are computed from what the models answer, re-polled continuously · raw reasoning shown verbatim · methodology