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Models

11 models

Prices per 1M tokens

google/embeddinggemma

EmbeddingGemma is a 300M parameter embedding model from Google.

5 model tags2K contextToken exchange

qwen/qwen3-embedding

Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes

12 model tags41K contextToken exchange

ibm/granite-embedding

The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.

6 model tags512 contextToken exchange

snowflake/snowflake-arctic-embed2

Snowflake's frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.

3 model tags8K contextToken exchange

baai/bge-large

Embedding model from BAAI mapping texts to vectors.

3 model tags512 contextToken exchange

baai/bge-m3

BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.

3 model tags8K contextToken exchange

nomic-ai/nomic-embed-text

A high-performing open embedding model with a large token context window.

3 model tags2K contextToken exchange

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