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Google: Gemini Embedding 001
gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark...
- Input
- text
- Output
- embeddings
Providers
Available through 1 free provider. Use the model ID and API settings below to connect.
Vercel AI Gateway
VAVercel AI Gateway
* The provider match may differ from this model. Check its docs for details.
Benchmarks
Compare scores and explore results by category.
No benchmark results are available for this model yet.
Frequently asked questions
Free access, setup, and what to expect.
Free API access for Gemini Embedding 001 is listed through Vercel AI Gateway, but a specific request or token allowance isn’t available in the listed data. Check the Gemini Embedding 001 provider pricing and rate limits for what’s included and any account requirements.
To use Gemini Embedding 001, choose one of the listed Gemini Embedding 001 API providers and follow the provider’s account and API-key setup guide. Copy the Gemini Embedding 001 model ID and connection settings for your chosen provider into your app or API client. Model IDs can differ between providers. API requests go directly to the provider; Free Models is a comparison site.
Gemini Embedding 001 accepts text as listed input formats. Listed output formats include embeddings. Image or audio input support does not imply image or audio generation. Check the chosen provider’s Gemini Embedding 001 documentation for supported file types and request formats.
Gemini Embedding 001 has a listed context window of 20K tokens. Tokens are small pieces of content rather than a word count. Instructions, conversation history, and other inputs use context space, and the response also needs room. The maximum output length for Gemini Embedding 001 may be smaller than the context window and can vary by provider.
Neither reasoning nor tool calling support is listed for Gemini Embedding 001. Reasoning enables additional processing for complex problems. Tool calling allows a model to request functions that your app executes. Check the chosen provider’s documentation for capability availability and setup.
No benchmark results are listed for Gemini Embedding 001 yet. Missing scores don’t establish poor performance. Compare scores within the same benchmark: coding indexes, Elo ratings, and win rates measure different things. The index comparison charts include only scored free models listed on Free Models. Evaluate Gemini Embedding 001 on examples from your own task alongside context size and provider limits.