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Available now on ModelsLab · Language Model

Gemini 2.5 ProReasoning. Coding. Multimodal.

Try Gemini 2.5 ProAPI Documentation
Gemini 2.5 Pro

Advanced Reasoning Meets Production Code

Deep Reasoning

Enhanced Reasoning Capabilities

Purpose-built thinking model that reasons through complex problems with greater depth and accuracy than chain-of-thought prompting.

Production-Grade Code

Advanced Coding Performance

Generates, debugs, and transforms code with 63.8% SWE-Bench score. Excels at web apps, UI development, and agentic workflows.

Multimodal Understanding

Native Text, Audio, Video

Processes text, images, audio, video, and entire code repositories. Includes video-to-code capabilities for new application flows.

Examples

See what Gemini 2.5 Pro can create

Copy any prompt below and try it yourself in the playground.

Build Interactive App

“Create an interactive learning web application with a clean UI, form inputs, and real-time data visualization. Include responsive design and accessibility features.”

Debug Complex Logic

“Review this TypeScript codebase for performance bottlenecks and refactor the data processing pipeline. Suggest optimizations and explain trade-offs.”

Solve Math Problem

“Work through this advanced calculus problem step-by-step. Show all reasoning, verify intermediate results, and provide the final answer with explanation.”

Analyze Document

“Extract key clauses, obligations, and risk factors from this legal contract. Summarize in structured format with highlighted critical sections.”

For Developers

A few lines of code.
Reasoning. Code. Three lines.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Gemini 2.5 Pro

Read the docs

Gemini 2.5 Pro is purpose-built as a thinking model with enhanced reasoning as a core capability. It outperforms competitors on reasoning benchmarks like AIME 2025 (86.7%) and Humanity's Last Exam (18.8%), while delivering coding performance with 63.8% on SWE-Bench Verified.

Yes. Gemini 2.5 Pro scores 84.8% on VideoMME benchmarks and includes video-to-code capabilities. You can input videos and have the model generate functional applications based on visual content.

Gemini 2.5 Pro ships with a 1 million token context window, with 2 million tokens coming soon. This enables deep analysis of large datasets, dense documents, and entire code repositories.

Gemini 2.5 Pro outperforms Claude 3.7 Sonnet and OpenAI o3 on reasoning and knowledge benchmarks. For web development tasks, it offers competitive pricing and superior performance compared to alternatives.

Gemini 2.5 Pro excels at code generation, debugging, transformation, and editing. It's particularly strong at creating visually compelling web apps, UI development, and building sophisticated agentic workflows.

Yes. Gemini 2.5 Pro supports function calling, structured output, code execution, and system instructions. Recent updates improved function calling accuracy and trigger rates based on developer feedback.

Ready to create?

Start generating with Gemini 2.5 Pro on ModelsLab.

Try Gemini 2.5 ProAPI Documentation