Gemini Pro 2.5 Experimental API

Advanced multimodal AI model for complex tasks
Output

Overview

Gemini Pro 2.5 Experimental Description

Overview

Gemini Pro 2.5 Experimental is designed to handle complex tasks requiring advanced reasoning and multimodal understanding. It supports inputs in text and images, providing text-based outputs. The model excels in coding, mathematical problem-solving, and analyzing large datasets. ​

Key Features
  • Multimodal Input Support: Accepts text and images.
  • Advanced Reasoning: Capable of complex problem-solving and logical reasoning.
  • Coding Proficiency: Excels in understanding and generating code.​
  • Extended Context Window: Handles extensive input data effectively.​
Intended Use
  • Complex Problem Solving: Suitable for tasks requiring deep reasoning across various data types.​
  • Software Development: Assists in code generation and debugging.​
  • Data Analysis: Capable of processing and interpreting large datasets.​
  • Educational Applications: Enhances learning experiences through interactive content.​

Usage

Code Samples:

The model is available on the AI/ML API platform as "Gemini Pro 2.5 Experimental" .

API Documentation:

Detailed API Documentation is available here.

Ethical Guidelines

Google DeepMind emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. The organization encourages responsible usage to prevent misuse or harmful applications of generated content.

Licensing

Gemini Pro 2.5 Experimental is available under a commercial license that allows both research and commercial usage rights while ensuring compliance with ethical standards regarding creator rights.

Use cases

  • Advanced AI assistants and chatbots
  • Software development and code automation
  • Scientific research and complex mathematical reasoning
  • Creative multimedia content generation (images, video, audio)
  • Enterprise workflows with agentic automation
  • Educational tools with multimodal interactive capabilities
  • Game development and interactive application generation

How to use Gemini Pro 2.5 Experimental API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to .

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Gemini Pro 2.5 Experimental API Pricing

TypePrice
Input
Output

Gemini Pro 2.5 Experimental Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Humanity's Last Exam
18.8%
Expert-level questions across many domainsSourceSeptember 22, 2026
GPQA Diamond
84.0%
Google-proof graduate science questions (hardest subset)SourceSeptember 22, 2026
AIME 2025
86.7%
Competition mathematics (AIME), 2025SourceSeptember 22, 2026
SWE-bench Verified
63.8%
Resolving verified real GitHub issuesSourceSeptember 22, 2026

Gemini Pro 2.5 Experimental vs other models

ModelInputOutputContextBest for
$6.5 / 1M tokens
$39 / 1M tokens
1M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$1.95 / 1M tokens
$11.7 / 1M tokens
1M tokens
Reasoning + agents

Frequently asked questions

Yes, Gemini Pro 2.5 Experimental can stream responses as they are generated.

Yes, Gemini Pro 2.5 Experimental supports both function calling and structured outputs.

Gemini Pro 2.5 Experimental was built by Google.

It is available on the v1 endpoint.

Start building with Gemini Pro 2.5 Experimental

Get API Key
1000+ models, one API.