LLM Reference

Gemini Embedding 2

Released
2026-04-22
Last refreshed
2026-06-29
Status
Researched 132d ago
ProprietaryCommercial use: conditionalMultimodal

Gemini Embedding 2 is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Strict JSON or tool-calling flows
Specifications
Released
2026-04-22
Specialization
embedding
Openness
Proprietary
License
ProprietaryCommercial use: conditional
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.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers 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.