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Google · Embedding model · GA

Gemini Embedding 2

Name: Gemini Embedding 2
Price: 0.2 USD
Author: Google

US$0.2Input / 1M

–Output / 1M

8KContext

–AA index

–Tokens/s

–Default level

Figures checked 1 Nov 2026. A dash means not published on the sources we checked, so it stays blank rather than estimated.

Charts

List price against similar models

US$ per 1M tokens, standard tier, short prompts. Output left blank where not published.

Show the data as a table

Model	Input US$/1M	Output US$/1M
Gemini Embedding 2	0.2	–
text-embedding-3-large	0.13	–
text-embedding-3-small	0.02	–

Full sourced profile

Lab	Google
Type	Embedding
Status	GA ai.google.dev (opens in a new tab)
Released	22 Apr 2026 models.dev (opens in a new tab)
API access	Yes ai.google.dev (opens in a new tab)
API model ID	`gemini-embedding-2` ai.google.dev (opens in a new tab)
API rate limits	–
Consumer app plans	–
Price at each level	–
Input per 1M tokens	US$0.2 ai.google.dev (opens in a new tab)Text. Image, audio and video cost more
Output per 1M tokens	–
Cached input	–
Batch in / out	–
Other pricing	–
Context window	8K tokens models.dev (opens in a new tab)
Max output	–
Input types	text, image, audio, video, pdf ai.google.dev (opens in a new tab)
Output types	vector
Weights	Closed ai.google.dev (opens in a new tab)
Reasoning	–
Tool use	–
Artificial Analysis index	–
Output speed	–
Time to first token	–
Reasoning levels	–
Lab benchmark claims	–
Limitations	–

Tools and MCP connectors that fit

Gemini Embedding 2 has no published tool use, so we do not match it to MCP servers. Browse AI tools

Similar alternatives

Same type, closest on quality index and blended price. A similarity, not a ranking.

text-embedding-3-largeOpenAI · US$0.13 / – per 1M
text-embedding-3-smallOpenAI · US$0.02 / – per 1M

Compare Gemini Embedding 2 with text-embedding-3-large and text-embedding-3-small

All 109 AI models · AI agents · How we check sources

Latest news from Google

All AI news

Google 11 November 2026

Google DeepMind releases Gemini Robotics 2.5 for real-world robots

DeepMind says its new vision-language-action model, built with Gemini 4 Argon, was tested on more than 200 tasks, finishes tasks 20% to 30% faster than the previous version and packed automotive parts with a 96% success rate in proof-of-concept tests at Mercedes-Benz. It is rolling out through partners including Agile Robots, Apptronik and Boston Dynamics. The figures are DeepMind's own; more robot training and inference means more GPU demand in data centres.

Source: SiliconANGLE (opens in a new tab)

Google 30 October 2026

One robots.txt line to opt a website out of AI training

Google says it will support a shared AI training control in robots.txt, alongside Microsoft, OpenAI and Anthropic. It is based on an IETF draft. Website owners get one switch instead of one per crawler.

Source: Google Search Central Blog (opens in a new tab)

Google 28 October 2026

Google Cloud revenue more than doubles as Alphabet spends $51.4bn in a quarter

Alphabet put $51.4bn into capex in Q3, about 35% of its technical infrastructure spend going to data centres. Google Cloud revenue grew 103% to $30.7bn.

Source: Alphabet (SEC exhibit 99.1) (opens in a new tab)