1M

reasoning

Chat

google

Gemini 2.5 Pro API

Gemini 2.5 Pro API, an advanced AI model designed to enhance reasoning, encoding and multimodal capabilities. Its multimodal design enables it to interpret and generate text, audio, images, videos and code, thereby expanding its applicability in various fields.
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  • Flexible Solution
  • Constant Updates 
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.cometapi.com/v1",
    api_key="<YOUR_API_KEY>",    
)

response = client.chat.completions.create(
    model="Gemini 2.5 Pro",
    messages=[
        {
            "role": "system",
            "content": "You are an AI assistant who knows everything.",
        },
        {
            "role": "user",
            "content": "Tell me, why is the sky blue?"
        },
    ],
)

message = response.choices[0].message.content

print(f"Assistant: {message}")

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google

Gemini 2.5 Pro API

Gemini 2.5 Pro API, an advanced AI model designed to enhance reasoning, encoding and multimodal capabilities. The latest version is gemini-2.5-pro .

Gemini 2.5 Pro

Basic Information (Features)

  • Multimodality: Natively handles text, images, and code in a single model.
  • Long Context Window: Maintains coherence over extended conversations and documents.1.05M
  • Deep Think Mode: An experimental variant within the Pro suite that deploys multiple reasoning agents in parallel for strategic planning and creative solutions.
  • Ideal Use Cases: Coding, agentic workflows, interactive simulations, and data visualization .

Technical Details

  • Multi-Agent Architecture: Parallelizes reasoning streams to explore multiple solution paths simultaneously.
  • MRCR (Multi-Round Coreference Resolution): Enhanced co-reference handling for sustained dialogues and multi-turn tasks.
  • Training Corpus: Billions of tokens spanning web text, code repositories, academic sources, and proprietary datasets.
  • Tool Integration: Seamlessly combines code execution, Google Search, and external APIs to augment its internal reasoning.

Model Version

StabilityModel DateDescription
Stable (GA)gemini-2.5-proJune 05, 2025The primary production endpoint for highest-intelligence tasks—coding, agentic workflows, advanced reasoning. All preview aliases redirect here post-June 26, 2025.
Experimental Previewgemini-2.5-pro-preview-06-05Availability Window: June 05 – June 26, 2025Introduces adaptive thinking improvements over prior preview. After June 26, requests to this alias automatically resolve to gemini-2.5-pro.
Experimentalggemini‑2.5‑pro‑exp‑03‑25Remove and Replace
Experimental Preview (Legacy)gemini-2.5-pro-preview-05-06;Availability Window: May 06 – June 26, 2025Original preview for 2.5 Pro; fully deprecated and auto-redirected to gemini-2.5-pro after June 26, 2025.

Developers should update any preview references to gemini-2.5-pro to ensure long-term stability.

Gemini 2.5 Pro is now publicly available and stable (no changes from the 06-05 Preview).If you are using gemini-2.5-pro-preview-05-06, the model will continue to be available until June 19, 2025, after which support will be discontinued. If you are using gemini-2.5-pro-preview-06-05, simply update the model string to “gemini-2.5-pro“.

Key Functions of Gemini 2.5 Pro

Deep Analytical Thinking

At its core, Gemini 2.5 Pro prides itself on its deep thinking capabilities. Leveraging a multi-step logical analysis, the model can deduce answers with greater accuracy and coherence. This feature is particularly beneficial for developers seeking detailed insights and solutions to intricate problems.

Handling Complex Tasks

When tested in a zero-tool reasoning task, Gemini 2.5 Pro scored an impressive 18.8%, which is significantly higher than its closest competitor, GPT-4.5, which scored 6.4%. This disparity highlights Gemini’s superior capacity for handling complex tasks, providing a more robust solution for users.

Code Generation Excellence

Gemini 2.5 Pro excels at code generation, enabling quick production of intricate code structures. For instance, it can create interactive visual games using a simple prompt. This capability allows developers to streamline their workflows and enhance productivity significantly.

Code Editing and Conversion

In addition to generating code, Gemini 2.5 Pro is adept at code editing and conversion. It can optimize existing code by grouping functions and converting between programming languages, thereby improving the efficiency of software development processes.

Cross-Domain Functionality

The AI model is designed to handle cross-domain tasks expertly. For example, it can extract key information from videos or conduct analyses of large data sets, making it a powerful tool for projects that require comprehensive data interpretation.

Long Document Processing

Gemini 2.5 Pro’s ability to process long documents is particularly noteworthy. It can handle complex projects involving extensive texts, such as analyzing the entire content of the “Lord of the Rings” trilogy. This feature is invaluable for academics, researchers, and developers working on substantial documentation.

Benchmark Performance

Outperformance: Consistently leads against OpenAI’s o4-mini High and Anthropic’s Opus 4 on complex reasoning metrics .

Humanity’s Last Exam (HLE): Achieved 34.8% without tools, surpassing xAI’s Grok 4 (25.4%) and OpenAI’s o3 (20.3%).

LiveCodeBench V6: Topped competitive programming benchmarks, demonstrating superior code synthesis and debugging accuracy.

Math Olympiads: Earned gold at the 2025 International Math Olympiad and outperformed peer models in both U.S. and international competitions.

Gemini 2.5 Pro API

Limitations

  • Resource Intensity: Deep Think consumes up to 5× more compute compared to Flash, impacting cost and latency.
  • Rate Limits: Pro endpoints enforce stricter quotas; experimental TTS preview models have restricted access in API Preview.
  • Hallucinations: Complex multi-step reasoning can still produce plausible but incorrect outputs—users should implement human-in-the-loop verification.

How to call Gemini 2.5 pro API from CometAPI

Gemini 2.5 pro API Pricing in CometAPI，20% off the official price:

  • Input Tokens: $1/ M tokens
  • Output Tokens: $8/ M tokens

Required Steps

  • Log in to cometapi.com. If you are not our user yet, please register first
  • Get the access credential API key of the interface. Click “Add Token” at the API token in the personal center, get the token key: sk-xxxxx and submit.
  • Get the url of this site: https://api.cometapi.com/

Useage Methods

  1. Select the “gemini-2.5-pro” endpoint to send the API request and set the request body. The request method and request body are obtained from our website API doc. Our website also provides Apifox test for your convenience.
  2. Replace <YOUR_AIMLAPI_KEY> with your actual CometAPI key from your account.
  3. Insert your question or request into the content field—this is what the model will respond to.
  4. . Process the API response to get the generated answer.

For Model lunched information in Comet API please see https://api.cometapi.com/new-model.

For Model Price information in Comet API please see https://api.cometapi.com/pricing.

Conclusion:

Gemini 2.5 Pro stands as a testament to the evolving nature of AI technology. With its advanced reasoning capabilities, multi-modal input support, and robust application scenarios, it heralds a new era for developers and users alike. As this model continues to evolve, it promises to unlock unprecedented opportunities across diverse fields, reinforcing Google’s position as a leader in artificial intelligence development.

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