gemini-2.5-pro-deepsearch

gemini-2.5-pro-deepsearch

Possesses efficient retrieval and independent research capabilities.
2025-06-08
LLM
Model capability: imageModel capability: function_call
Input:
$5/1M tokens
Output:
$35/1M tokens
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API Overview

Basic Information

Gemini 2.5 Pro is the latest high-performance general-purpose model released by Google. It is the flagship version of the Gemini 2.5 series and boasts enhanced multimodal understanding and code-generation capabilities.

Key Features

  • Stronger Development and Coding Capabilities: Particularly outstanding in front-end and web application development, it can quickly generate web interfaces that are structurally clear and visually consistent, making it a leading option among current models of its kind.
  • Capability to Transform “Video → Application”: The model can understand video content and rapidly generate interactive applications, significantly shortening the process from content ideation to finished demos.
  • Automated UI/Function Construction: It can automatically add components, design styles, or generate functional logic based on instructions, greatly reducing the time spent on manually handling interface details and debugging CSS.
  • Comprehensive Multimodal Processing: It can simultaneously understand text, images, and videos, making it suitable for a wider range of task scenarios.

Technical Highlights

  • Faster Response and Stronger Reasoning: While significantly enhancing capabilities, it maintains low latency, making it ideal for high-frequency calls or products that are sensitive to response speed.
  • More Stable Function Calls and Agent Processes: The new version fixes multiple issues, making automated workflows more reliable.
  • Higher Code Quality: From interface layouts to interaction logic, it generates code that closely adheres to real-world engineering standards.


gemini-2.5-pro-deepsearch introduces a step-by-step reasoning mechanism that conducts internal deliberation before providing answers, thereby improving logical consistency and accuracy. It also demonstrates agent-like task-execution capabilities, helping enterprises build complex automated workflows.

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API Analytics

API Reference (1)

API DescriptionAPI EndpointRequest MethodStabilityParameter Description
chat(gemini-2.5-pro-deepresearch)
POST
Unstable
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API Pricing

$
ModelDescriptionContextOfficial Price302.AI Price

gemini-2.5-pro-deepsearch

-
1000000

Input$5 / 1M tokens
Output$35 / 1M tokens

Input$5/ 1M tokens
Output$35/ 1M tokens
Original Price