GTE-Large

by thenlperEmbedding

The gte-large embedding model converts English sentences, paragraphs and moderate-length documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for information retrieval, semantic textual similarity, reranking and...

Context: 512 tokens
Max output: 512 tokens
Released: 2025-11-18
Weights: unknown

Feed

thenlper/gte-large · also seen as fireworks_ai/thenlper/gte-large

Specifications

Full facts as recorded, incl. what is unknown.

Released: 2025-11-18
Weights: unknown
Input: Text
Output: Embeddings
Context window: 512 max across endpoints
Max output: 512
Providers: 1 + 1 gateway, not counted as providers
Epoch Capabilities Index: not evaluated
Direct price range: $0.016 in per 1M tokens · from its one provider

More details

Last updated: —
Knowledge cutoff

Capabilities

Across all endpoints: supported if any endpoint supports it.

Tool callingunknown
Parallel toolsunknown
Structured outputunknown
Reasoningunknown
Image inputunknown
PDF inputunknown
Audio inputunknown
Audio outputunknown
Video inputunknown
Prompt cachingunknown
Web searchunknown
Computer useunknown
System messagesunknown
Assistant prefillunknown
Temperatureunknown
Streamingunknown
Attachmentsunknown

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

Atom feed

No change since 19 Oct 2026. The cheapest direct price has been $0.016 in / — out per 1M tokens at Fireworks AI on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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More from thenlper

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Model	Released	Context	Listed price
GTE-Base	2025-11-18	512	from $0.008

Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model