Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.
Listed rates
Price across providers
Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.
Lowest input$0.2/M
Across 1 priced provider
Median input$0.2/M
Midpoint of listed rates
Highest input$0.2/M
Same as the lowest listed rate
Google$0.2/MLowest
Cost calculator
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Excludes taxes, non-token charges, and tiered discounts.
Specification
Capabilities
Recorded from the source catalog and provider listings.
Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.
ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.
Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
What is Gemini Embedding 2?
Multimodal embedding model mapping text, images, video, audio, and PDFs into a unified embedding space. It is published by Google and catalogued here from Models.dev.
How much does Gemini Embedding 2 cost?
Listed input pricing starts at $0.2 per million tokens from Google.
What is the context length of Gemini Embedding 2?
Gemini Embedding 2 accepts up to 8.192K tokens of context and returns up to 3.072K output tokens.
Does Gemini Embedding 2 support tool calling and structured output?
Provider catalogs list support for image input.
Which providers serve Gemini Embedding 2?
3 providers list this model: SAP AI Core, Vercel AI Gateway, Google.
Are the weights for Gemini Embedding 2 open?
No. This model is served through hosted APIs only.
When was Gemini Embedding 2 released?
The catalog records a release date of 2026-04-22, last verified Sep 11, 2026.