Gemini Embedding 2

Released
2026-04-22
Last refreshed
2026-06-29
Status
Researched 180d ago
ProprietaryCommercial use: restrictedMultimodal
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Specifications
Released
2026-04-22
Specialization
embedding
Openness
Proprietary
License
ProprietaryRestricted
Weights
Not released
Code
Unknown
Training
Pretrained
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
Free
Input / 1M
$0.200

Cheapest of 2 routes · Google AI Studio

About

General availability release of Google's multimodal embedding model, released April 22, 2026. Generates 3072-dimensional vectors from text, images, documents, audio, and video inputs, mapping all modalities into a unified semantic space. Supports custom task instructions to optimize embeddings for retrieval, classification, clustering, or other goals. Output dimensionality is configurable via the output_dimensionality parameter. Priced at $0.20/1M input tokens. Distinct from gemini-embedding-2-preview (the earlier preview version). API ID: gemini-embedding-2.

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Google AI Studio$0.200Free
Serverless
Vercel AI Gateway$0.200-
ServerlessPartial

Available via routers & gateways(13)

Capabilities

VisionMultimodalAudio

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.