Gemini Embedding 001
vertex The API that serves this model and sets the prices shown here. gemini-embedding-001 The model identifier to send in API requests. LLM Generates text from a prompt, so it can be compared with other LLMs on price and capability.Provider: google
Knowledge cutoff: May 2025
Nothing to act on today. The cost is the checking: someone has to remember to look again next month, and the month after. Coolhand watches this model for you and automatically updates your agents to the most compatible replacement the moment a retirement is announced — one less thing on your list, permanently.
Sticker prices & cost-per-token
List rates as published by google, before any volume or enterprise discounts.
$0.15
$0.00
2,048 tokens
1
tokens per response (includes reasoning tokens)
Closed weights
Get this data free
Want to stay updated on price changes on this model? Pull this data free (no API key required) here:
curl "https://coolhandlabs.com/api/v2/inference_apis?q%5Bmodel_eq%5D=gemini-embedding-001&q%5Bsource_api_eq%5D=vertex"Pricing History
| Effective | Price |
|---|---|
| Aug 16, 2026 – present | Input cost: $0.15 / 1M, Output cost: $0.00 / 1M, Cached input cost: $0.00 / 1M, Cache creation cost: $0.00 / 1M, 5-minute cache write cost: $0.00 / 1M, 1-hour cache write cost: $0.00 / 1M, Reasoning output cost: $0.00 / 1M, Cache storage cost: $0.00 / 1M/hr |
History
No automated scan changes recorded yet.
| Date | Changed by | What changed |
|---|---|---|
| Aug 16, 2026 | Unknown | Initial record created |
Source
https://models.dev/api.json (models.dev provider 'google-vertex', bulk import 2026-08-13)Comparable models
No comparable models identified yet.
Reliability
No reliability incidents recorded in the last 90 days.
Frequently asked questions
Gemini Embedding 001 (google) costs $0.15 per 1M input tokens and $0.00 per 1M output tokens, as last published by google.
Gemini Embedding 001 has a context window of 2,048 tokens (the maximum combined input and output it can handle in a single request).
Gemini Embedding 001 can generate up to 1 tokens in a single response. Reasoning (thinking) tokens count toward this limit.
Gemini Embedding 001's training data runs through May 2025, so it may not know about later events. Coolhand records the cutoff at month precision, since providers often publish only the month.
Gemini Embedding 001 accepts text as input and produces text as output, as recorded in the Coolhand catalog.
No — the weights of Gemini Embedding 001 have not been released, so it is only available through hosted APIs.
No, Gemini Embedding 001 is currently active with no announced deprecation date.
Call GET https://coolhandlabs.com/api/v2/inference_apis?q[source_api_eq]=vertex&q[model_eq]=gemini-embedding-001 — free, no API key required, and scoped to just this model since source_api and model together are unique. See https://coolhandlabs.com/docs for the full REST API reference.
Coolhand also tracks Gemini 3.1 Flash Lite Preview, Google Gemma 3 12B, Gemma 3 4B IT, Deep Research Max Preview (Apr-21-2026), Deep Research Preview (Apr-21-2026), and Gemini 2.5 Flash from google. Some may already be deprecated, so check each model's status alongside its current pricing.
| Model | Input cost | Output cost | Context window | Max output tokens | Status |
|---|---|---|---|---|---|
| Gemini 3.1 Flash Lite Preview | $0.25/1M $0.0000002500 | $1.50/1M $0.0000015000 | 1,048,576 | 65,536 |
Deprecated Aug 13, 2026
|
| Google Gemma 3 12B via Bedrock | $0.09/1M $0.0000000900 | $0.29/1M $0.0000002900 | 131,072 | 8,192 | Active |
| Gemma 3 4B IT via Bedrock | $0.04/1M $0.0000000400 | $0.08/1M $0.0000000800 | 131,072 | 4,096 | Active |
| Deep Research Max Preview (Apr-21-2026) | $2.00/1M $0.0000020000 | $12.00/1M $0.0000120000 | — | 65,536 | Active |
| Deep Research Preview (Apr-21-2026) | $2.00/1M $0.0000020000 | $12.00/1M $0.0000120000 | — | 65,536 | Active |
| Gemini 2.5 Flash | $0.30/1M $0.0000003000 | $2.50/1M $0.0000025000 | 1,048,576 | 65,536 | Active |
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