# Gemini Embedding 001 Usage, Cost & Rank | OpenCode Data

> Gemini Embedding 001 costs $0.15 per 1M input tokens and $0.00 per 1M output tokens.

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

- Page: https://opencode.ai/data/google/gemini-embedding-001
- JSON: https://opencode.ai/data/google/gemini-embedding-001.json
- Model ID: google/gemini-embedding-001
- Lab: Google

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 2K |
| Max output | 1 |
| Knowledge cutoff | 2025-05 |
| Release date | 2025-05-20 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | No |
| Tool calling | No |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.15 | $0.00 | - | - |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.