Enterprise DNAEnterprise DNA
Google logo

Models · Embeddings

Gemini Embedding 2

by Google

Embedding model for semantic search, retrieval, clustering, and ranking pipelines.

Visit Google ↗

Our verdict

Not reviewed yet

We have not reviewed Gemini Embedding 2 yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About Gemini Embedding 2

Embedding model for semantic search, retrieval, clustering, and ranking pipelines.

Best for

Multimodal retrieval embeddings

Notes

Gemini Embedding 2 is listed in the EDNA Models directory, sourced from models.dev.

Pros

  • Indexing mixed source types into an embedding workflow
  • text, image, file, audio, video input; embeddings output on the listed OpenRouter route

Cons

  • Expecting an embedding endpoint to answer a question
  • Mixing vectors from different models in one similarity index
  • Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Key facts

What we have checked

Price on google-ai-studio
$0.200 per million input tokens
Checked OpenRouter models API
Price on google-ai-studio
$0 per million output tokens
Checked OpenRouter models API
Price on google-vertex
$0.200 per million input tokens
Checked OpenRouter models API
Price on google-vertex
$0 per million output tokens
Checked OpenRouter models API
Latest version
google/gemini-embedding-2
Checked OpenRouter models API
Tokens served on OpenRouter in a day
2.7B (for 10 Nov 2026)
Checked OpenRouter model activity (748 of 748 series)
Tool calls on OpenRouter in a day
0 (for 10 Nov 2026)
Checked OpenRouter model activity (748 of 748 series)

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

API access

How to call it

Call via other with model id `google/gemini-embedding-2`.

  • other · google/gemini-embedding-2

OpenRouter id: google/gemini-embedding-2

Price

What Gemini Embedding 2 costs, over time

Prices by host

HostPriceOver timeChecked
google-ai-studioInput$0.200 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-ai-studioOutput$0 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexInput$0.200 per million input tokensSince 24 Oct 2026No change recordedOpenRouter models API
google-vertexOutput$0 per million output tokensSince 24 Oct 2026No change recordedOpenRouter models API

Usage

How much Gemini Embedding 2 is used

Tokens served a day

1.6B to 2.7B

tokens a day on OpenRouter. 19 Sept 2026 to 10 Nov 2026, 53 readings.

Source: OpenRouter model activity (748 of 748 series). Checked .

Sources

Where this comes from

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

USAGE / OPENROUTER

How much Gemini Embedding 2 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
16.2B ▼6.4%
Requests, last 7 days
49.1M
Tool calls, last 7 days
—
05B10B19 Sept: 1.6B tokens, 3.8M requests20 Sept: 1.7B tokens, 3.3M requests21 Sept: 2.4B tokens, 4.7M requests22 Sept: 3.1B tokens, 4M requests23 Sept: 3.3B tokens, 3.4M requests24 Sept: 1.9B tokens, 3.7M requests25 Sept: 1.6B tokens, 4.6M requests26 Sept: 1.8B tokens, 2.9M requests27 Sept: 1.8B tokens, 4.1M requests28 Sept: 2B tokens, 4.1M requests29 Sept: 2.4B tokens, 3.9M requests30 Sept: 1.6B tokens, 4.1M requests1 Oct: 2.8B tokens, 4.6M requests2 Oct: 1.5B tokens, 3.3M requests3 Oct: 1.2B tokens, 2.9M requests4 Oct: 1.6B tokens, 3M requests5 Oct: 1.9B tokens, 5.4M requests6 Oct: 1.3B tokens, 3M requests7 Oct: 1.6B tokens, 3.4M requests8 Oct: 1.9B tokens, 7.3M requests9 Oct: 2.7B tokens, 9.3M requests10 Oct: 2.3B tokens, 8M requests11 Oct: 1.6B tokens, 5.6M requests12 Oct: 2.8B tokens, 7.8M requests13 Oct: 2.1B tokens, 8.1M requests14 Oct: 2.5B tokens, 6.7M requests15 Oct: 1.9B tokens, 5.5M requests16 Oct: 2.4B tokens, 6.5M requests17 Oct: 1.7B tokens, 5.2M requests18 Oct: 1.1B tokens, 3.7M requests19 Oct: 2.2B tokens, 5.1M requests20 Oct: 3.5B tokens, 15.8M requests21 Oct: 2.9B tokens, 6.8M requests22 Oct: 1.8B tokens, 4.6M requests23 Oct: 1.9B tokens, 4.1M requests24 Oct: 6.4B tokens, 4.6M requests25 Oct: 6.6B tokens, 4.2M requests26 Oct: 3.3B tokens, 5.4M requests27 Oct: 3.3B tokens, 4.9M requests28 Oct: 4.3B tokens, 5.2M requests29 Oct: 1.7B tokens, 5.4M requests30 Oct: 2.7B tokens, 5.7M requests31 Oct: 2.1B tokens, 5M requests1 Nov: 1.7B tokens, 4.6M requests2 Nov: 2B tokens, 6.7M requests3 Nov: 2.9B tokens, 8.6M requests4 Nov: 3.6B tokens, 8.8M requests5 Nov: 2.2B tokens, 6.8M requests6 Nov: 2.1B tokens, 6.3M requests7 Nov: 1.5B tokens, 4.6M requests8 Nov: 1.8B tokens, 9.7M requests9 Nov: 2.1B tokens, 6.4M requests10 Nov: 2.7B tokens, 6.5M requests19 Sept3 Oct17 Oct31 Oct10 NovSee where it ranks on the leaderboard →

MODEL FIELD GUIDE / SOURCE EVIDENCE

What you can do with Gemini Embedding 2.

Specifications reviewed; no EDNA task evaluation has been run. Sources checked 2026-11-07. Hosting routes and app features can differ.

DeveloperGoogle
Exact model identifiergoogle/gemini-embedding-2
Inputtext, image, file, audio, video
Outputembeddings
Tool calling
Not established
Structured output
Not established
Reasoning controls
Not established
Availability
available
Price basis
token
Licence verification
Check the developer licence; the model name is insufficient
Context length
8.2K tokens
Knowledge cutoff
Not established
Developer release date
Not established
First seen in the catalogue
20 May 2026
Listed retirement date
Not established

Base text-token rates exclude other modalities, tools, caching, retries and any hosting-specific charges. Check actual usage before comparing cost per successful task.

Consider it for

  • Indexing mixed source types into an embedding workflow
  • Comparing cross-modal retrieval with a labelled relevance set

Watch for

  • Expecting an embedding endpoint to answer a question
  • Mixing vectors from different models in one similarity index

PRACTICAL EXERCISE / NOT RUN BY ENTERPRISE DNA

Try the model on a small, checkable task.

Embed query: safety inspection checklist. Embed three owned records: a safety checklist PDF, a lunch menu and an equipment inspection photograph. Rank cosine similarity without generating an answer.

Check the result: Check dimensions and finite numbers; inspect whether relevant records outrank the menu using the labelled set.

Compare another approach

openai text embedding 3 large ↗qwen qwen3 embedding 8b ↗
Inspect the sources and their scope
provider source ↗

Developer documentation for model family or task. OpenRouter route-specific properties remain catalogue claims; EDNA has not executed a task evaluation.

Checked 2026-10-19
catalogue source ↗

google/gemini-embedding-2: listed route capabilities, availability and prices; provider endpoints can differ.

Checked 2026-11-07
openrouter.ai ↗

Source for first seen, context length, input, output.

Checked 2026-11-07
How to evaluate a model for your work →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Understand the capabilitiesRead the model guide ↗

What would it cost?

Pick a common job and how many times a month you run it. Token sizes are our assumption for a typical run, shown under the result.

Working out the cost...

Token prices only. Per-request, image, tool, storage and subscription fees are not included. One token is about three quarters of an English word. Real counts vary by model and language. How tokens are counted ↗

Check the source

Price date: 20 Oct 2026, from the models.dev listing. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Compare this model with alternatives →
Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

← Back to ModelsSubmit your own entry →