Google's recommended embedding model — first multimodal embedding model in the Gemini API (text-only via this endpoint today). Default output dimension 3072; supports the `dimensions` parameter (recommended: 768, 1536, 3072). Embedding space is incompatible with gemini-embedding-001.
DigitSpace routes requests to the best providers that are able to handle your prompt size and parameters.
Google's recommended embedding model — first multimodal embedding model in the Gemini API (text-only via this endpoint today). Default output dimension 3072; supports the `dimensions` parameter (recommended: 768, 1536, 3072). Embedding space is incompatible with gemini-embedding-001. You can access it through DigitSpace's OpenAI-compatible API with automatic provider routing, fallback, and cost analytics.
Pricing for Gemini Embedding 2 on DigitSpace starts at $0.20 per million input tokens and $0.00 per million output tokens, depending on the provider. The pricing table above always reflects the current per-provider rates.
Gemini Embedding 2 supports a context window of up to 8,192 tokens on its largest provider deployment.
Gemini Embedding 2 is served by Google AI Studio through DigitSpace. Requests are automatically routed to the best available provider, with fallback when a provider has issues.
No. Gemini Embedding 2 does not currently support tool calling or structured JSON outputs through DigitSpace.
Gemini Embedding 2 was released on April 22, 2026.