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.
LLM Gateway 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 LLM Gateway's OpenAI-compatible API with automatic provider routing, fallback, and cost analytics.
Pricing for Gemini Embedding 2 on LLM Gateway 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 LLM Gateway. 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 LLM Gateway.
Gemini Embedding 2 was released on April 22, 2026.
Gemini 3.5 Flash Lite
1,048,576 context$0.30 in / $2.50 out per 1M
Gemini 3.6 Flash
1,048,576 context$1.50 in / $7.50 out per 1M
Gemini 3.1 Flash Lite Image
65,536 context$0.25 in / $1.50 out per 1M
Gemini 3.5 Flash
1,048,576 context$1.50 in / $9.00 out per 1M
Gemini 3.1 Flash Lite
1,048,576 context$0.25 in / $1.50 out per 1M
Gemini 3.1 Flash TTS Preview
8,000 context$1.00 in / $20.00 out per 1M