GTE Large by Alibaba DAMO
General text embeddings with strong MTEB performance.
Embeddings & Retrieval Usefulness score 49.6 October 2026 edition
Why GTE Large ranks #89
GTE Large sits at #89 in the October 2026 Top 100 AI Models ranking, placing it among the embeddings & retrieval we consider most useful to practitioners this month. Our editors weigh real-world capability, reliability across repeated tasks, cost and latency efficiency, how easy the model is to access, and the strength of its tooling ecosystem.
Best suited for
Teams evaluating embeddings & retrieval should shortlist GTE Large when they need general text embeddings with strong mteb performance. As always, run your own evaluation on your data before committing.
How to move up
Rank changes come from measurable improvements — new releases, better documentation, broader availability, or stronger independent benchmark results. Vendors can submit updates through our How to Rank page. Sponsorship cannot move a model's position.
More in Embeddings & Retrieval
- #82 Mixbread — Mixedbread
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- #84 BGE M3 — BAAI
- #85 Voyage 3 — Voyage AI
- #86 ColBERTv2 — Stanford
- #87 Contriever — Meta
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