Google: Gemini Embedding 001

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

Model lab: Google
Model family: gemini

Modalitiestext → text

Context window2,048

Maximum output1

InputUSD 0.12 / 1M tokens

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Quickstart

Use your Moduck API Key, set the API base URL to https://api.moduck.ai/v1, and set the model parameter to google/gemini-embedding-001.

import os
import requests

base_url = "https://api.moduck.ai/v1"
api_key = os.environ["MODUCK_API_KEY"]
model_id = "google/gemini-embedding-001"

response = requests.post(
    f"{base_url}/chat/completions",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json={
        "model": model_id,
        "messages": [{"role": "user", "content": "Hello!"}],
        "stream": False,
    },
    timeout=60,
)
response.raise_for_status()
print(response.json())

Use the familiar OpenAI-style chat request format to make model integration easier.

Gemini Embedding 001 API Pricing

Type	Price information
Input	USD 0.12 / 1M tokens

Performance

Measured on the Moduck gateway across live traffic, hour by hour over the last 24 hours. Time to first token is how long before anything appears; throughput is how fast the answer is written after that; end-to-end latency is the whole round trip. Figures are medians unless the card says otherwise.

Performance trends

Throughput93.0 tok/sCurrent

Time to first token1.3 sCurrent

End-to-end latency7.1 sCurrent

Throughput

Current93.0 tok/s

Window average89.3 tok/s

Time to first token

Current1.3 s

Window average1.4 s

End-to-end latency

Current7.1 s

Window average7.5 s

Tail latency (P99)

Current16.6 s

Window average16.7 s

Prompt cache hit rate

Current31.3%

Window average23.4%

Error rate

Current0.0%

Window average0.1%

Availability

Uptime is the share of time at least one provider serving this model responded. Availability is stricter: the share of requests actually served. A provider that answers but fails part of the traffic lowers availability without lowering uptime. Both cover the last three days.

Uptime100%At least one provider responded

Availability100%Requests actually served

Error rate0%Share of failed requests

Served requests, hour by hour

24 hours agoNow

Gemini Embedding 001 Compare models

Model	Input price	Output price	Context window	Capabilities
Gemini Embedding 001This page	USD 0.12 / 1M tokens	Not billed on output	2,048	Text output
Gemini 4 Argon	USD 1.6 / 1M tokens	USD 8 / 1M tokens	1,048,576	Text output · Reasoning · Tool calling
Gemini 3.5 Transcribe Live	USD 0.00012 / second · Billed by input audio duration	Not billed on output	—	Text output
Gemini Embedding 2	USD 0.16 / 1M tokens	Not billed on output	8,192	Text output
Gemini Robotics-ER 1.6 Preview	USD 0.8 / 1M tokens	USD 4 / 1M tokens	131,072	Text output · Reasoning · Tool calling

Model specifications

Input: text
Output: text
Context window: 2,048
Maximum output: 1
Release date: 2025-05-20
Attachments: No
Reasoning: No
Tool calling: No
Temperature setting: No
Open weights: No

Frequently asked questions

What is Gemini Embedding 001 for?

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

What inputs and outputs does Gemini Embedding 001 support?

Recorded inputs: text; outputs: text.

How is Gemini Embedding 001 priced?

The pricing table shows the current recorded Moduck price. For example: Input USD 0.12 / 1M tokens. See the pricing table for all units, variants, and conditions.

What specifications are recorded for Gemini Embedding 001?

Current model records list Context window 2,048 tokens; Maximum output 1 tokens.

What model parameter does the Quickstart use?

The example uses google/gemini-embedding-001. This value comes from the page identifier and is not confirmed as a callable Moduck public ID.

Can I call this model through the Moduck API now?

This page has no verified Moduck API call for this model. A Quickstart example or reserved ID does not establish access; check the models available to your account.