GTE-Large

About GTE-Large

GTE Large is Alibaba's high-performance embedding model, achieving competitive results on semantic search benchmarks. The model generates embeddings that capture semantic meaning effectively, enabling accurate retrieval and similarity matching. GTE Large demonstrates strong performance on MTEB benchmarks, often matching commercial alternatives. Its open weights enable self-hosting without API dependencies, appealing to organizations with data privacy requirements. The model integrates well with popular vector databases and supports various retrieval applications. For developers seeking capable open-source embedding AI with strong benchmark performance, GTE Large provides excellent value. It's particularly popular in the open-source community for building semantic search systems.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with GTE-Large API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="thenlper/gte-large-20251117",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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