text-embedding

GTE Large

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

Fresh · fetched 2026-08-17T02:11:57.739Z · Models.dev(opens in a new tab)

Minimum context8K
Output1K
Providers1
CapabilitiesUnknown

Provider offers

ProvidersInput / 1MOutput / 1MCache read / 1MContext / outputUpdated
DigitalOceangte-large-en-v1.5$0.090$0.00Unavailable8K2026-04-16

Lowest reported provider price in USD per 1M tokens; unavailable is not free. Provider documentation remains authoritative. Catalogue presence is not an uptime, security, or quality endorsement.

Source metadata and limitations

Capabilities are source-reported. Tool calling does not prove quality in a particular harness. Prices and limits can change.

Modalities: texttext