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thenlper/gte-base
The gte-base embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, delivering efficient and effective semantic embeddings optimized for textual similarity, semantic search, and clustering applications.
Visual comparison
Compare published endpoint pricing visually.
USD per unit for prompt. Lower is better.
Only directly comparable published units are charted.
Server-rendered comparison
Prices are shown only in the units published by OpenRouter; cross-unit rankings are intentionally omitted. Missing speed data never removes an endpoint.
| Provider / route | Current pricing | Speed measurements | Endpoint details |
|---|---|---|---|
Provider / route DeepInfra deepinfra | Current pricing
| Speed measurements
| Endpoint details
11 parametersfrequency_penalty, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, top_k, top_p |
Endpoint data fetched .
GTE-Base deployment guide
GTE-Base is indexed here as a embeddings model by Thenlper, with 1 provider endpoint from DeepInfra. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.
The model publishes a 8.2K-token context window. It accepts text input and returns embeddings output. 11 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.
At least one unit is published consistently across the listed endpoints, allowing a direct price chart for prompt. Other charges remain in the table using OpenRouter’s exact billing labels.
Published endpoint formats include unknown. Availability, rate limits, and regional support can change independently of catalog pricing, so confirm the selected routing tag before production deployment.
