Gemini Deep Research Preview
Gemini Deep Research Preview
📌 Model Overview
Agentic model for autonomous multi-step research, synthesis, and cited reports
Gemini Deep Research Preview is a Api Only model developed by Google DeepMind, released on 2026-04-21. It is designed primarily for Image Generation workloads. Featuring a 1.0M tokens context window and Undisclosed parameter count, it offers robust performance for enterprise integration, developers, and researchers.
✨ Key Features & Capabilities
| Feature | Description |
|---|---|
| Context Window | 1.0M tokens capacity for extended prompts and multi-turn workflows |
| Primary Task | Optimized for Image Generation |
| Deployment | api-only |
| Modality | text, image, video, audio, pdf |
| Max Output | Max Output: 66K tokens |
| Native reasoning capability | Native reasoning capability |
| Tool / function calling support | Tool / function calling support |
⚙️ Technical Specifications
| Specification | Details |
|---|---|
| Developer / Lab | Google DeepMind |
| Release Date | 2026-04-21 |
| Model Type | Api Only |
| Parameters | Undisclosed |
| Context Window | 1.0M tokens |
| License | Proprietary |
| Model Family | gemini-pro |
💰 Pricing
| Tier / Unit | Rate (USD) |
|---|---|
| 1M input tokens | $2 |
| 1M output tokens | $12 |
| 1M cache read tokens | $0.2 |
📜 License & Usage
This model is governed by the Proprietary license. Please check official developer guidelines before commercial deployment.
Key Features
Max Output: 66K tokens
Native reasoning capability
Tool / function calling support
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Verified Sources
Tags
Model Specs
Parameters
Undisclosed
Context Window
1.0M tokens
License
Proprietary
Deployment
Pricing
- 1M input tokens$2
- 1M output tokens$12
- 1M cache read tokens$0.2
as of 2026-07-26
Lineage
Curator Notes
Skeleton entry imported from models.dev backfill (2026-07-26). Needs manual enrichment and primary-source verification.
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