Gemini Embedding 001
Gemini Embedding 001
📌 Model Overview
Embedding model for semantic search, retrieval, clustering, and ranking pipelines
Gemini Embedding 001 is a Api Only model developed by Google DeepMind, released on 2025-05-20. It is designed primarily for Chat Reasoning workloads. Featuring a 2K tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.
✨ Key Features & Capabilities
| Feature | Description |
|---|---|
| Context Window | 2K tokens capacity for extended prompts and multi-turn workflows |
| Primary Task | Optimized for Chat Reasoning |
| Deployment | api-only |
| Modality | text |
| Max Output | Max Output: 1 tokens |
⚙️ Technical Specifications
| Specification | Details |
|---|---|
| Developer / Lab | Google DeepMind |
| Release Date | 2025-05-20 |
| Model Type | Api Only |
| Parameters | Undisclosed |
| Context Window | 2K tokens |
| License | Proprietary |
| Model Family | gemini |
💰 Pricing
| Tier / Unit | Rate (USD) |
|---|---|
| 1M input tokens | $0.15 |
| 1M output tokens | $0 |
📜 License & Usage
This model is governed by the Proprietary license. Please check official developer guidelines before commercial deployment.
Key Features
Max Output: 1 tokens
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Verified Sources
Model Specs
Parameters
Undisclosed
Context Window
2K tokens
License
Proprietary
Deployment
Pricing
- 1M input tokens$0.15
- 1M output tokens$0
as of 2026-07-26
Lineage
Model Family
Part of the gemini family
Curator Notes
Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.
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