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-preview-06-05 in CometAPI.
Model Version
gemini-2.5-pro-preview-03-25 (Initial 2.5 Pro Experimental)
Released on March 25, 2025, this was the first public build of Gemini 2.5 Pro. It introduced the “thinking model” architecture—meaning the model reasons through chain-of-thought steps internally before generating its output—and shipped with a 1 million-token context window. At launch, it set new SOTA marks on reasoning and STEM benchmarks (e.g. 18.8 % on Humanity’s Last Exam, AIME 2025 pass@1 of 86.7 %) and demonstrated advanced code-generation/editing capabilities (scoring 63.8 % on SWE-Bench Verified) without requiring ensemble or majority-voting tricks.
gemini-2.5-pro-preview-05-06 (I/O Edition)
Rolled out on May 6, 2025, just ahead of Google I/O, this “I/O Edition” of 2.5 Pro (internally labeled gemini-2.5-pro-preview-05-06) focused heavily on improving programming performance. Compared to the March 25 build, it delivers major upgrades in code transformation, code editing, and support for complex, agentic workflows—making it noticeably better at generating and refactoring production-quality software. It also continued to lead top human-preference and academic benchmarks (e.g. LMArena, AIME 2025, GPQA Diamond) without test-time hacks.
gemini-2.5-pro-preview-06-05 (Post-I/O Update)
Deployed on June 5, 2025, this build added several new “big-picture” features beyond the I/O Edition optimizations. Namely, it introduced Deep Think mode—an explicit toggle for deeper chain-of-thought reasoning—as well as native audio-output support and enhanced security controls. These additions further bolster Gemini 2.5 Pro’s ability to tackle complex, multimodal tasks (text, code, audio, video) with more reliable, context-aware outputs. The model still uses a 1 million-token window (2 million tokens coming soon) but now offers the Deep Think reasoning switch for even more thorough internal deliberation .
The Essence of Gemini 2.5 Pro
A New Era of AI Capabilities
Gemini 2.5 Pro represents a pivotal shift in AI design and functionality. Unlike traditional models, it employs a sophisticated approach that emphasizes reasoning before providing responses. This innovative “thinking model” enhances its overall performance and accuracy, setting it apart in the competitive landscape of AI.
Benchmark Excellence
In terms of performance metrics, Gemini 2.5 Pro excels across various benchmarks. Notably, its reasoning capabilities and code generation abilities have propelled it to the top of the LMArena rankings. This achievement underscores its potential to address complex challenges faced by developers and researchers alike.
Multi-Modal Input Support
One of the hallmark features of Gemini 2.5 Pro is its ability to support multi-modal input. Users can interact with the model using various formats, including text, images, audio, video, and even complete code bases. This broad range of input options makes it incredibly versatile and useful for diverse applications.
Extensive Context Window
Furthermore, the model accommodates a remarkable context window of 1 million tokens, with plans to extend this capacity to 2 million tokens in the near future. This improvement will greatly enhance the model’s ability to process extensive information and maintain context over lengthy interactions.
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.
Technical Foundations of Gemini 2.5 Pro
Reinforcement Learning and Reasoning Prompts
The effectiveness of Gemini 2.5 Pro is rooted in advanced methodologies such as reinforcement learning and thinking chain prompts. These technologies enhance the model’s reasoning capabilities, enabling it to analyze information more effectively, derive logical conclusions, and grasp contextual nuances—essential for tackling challenging tasks.
Innovative Model Architecture
The model combines a robust foundational architecture with enhanced post-training techniques. This integration has led to a significant improvement in performance levels, particularly in reasoning and code generation tasks. As a result, Gemini 2.5 Pro achieves state-of-the-art performance and redefines expectations for AI capabilities.
Performance Metrics of Gemini 2.5 Pro
Benchmark Achievement
Gemini 2.5 Pro has achieved SOTA (State-of-the-Art) status in numerous benchmarks, making it a leader in the AI domain. Its performance is not only consistent across tasks but also exceptional, particularly in challenging scenarios.
Multimodal Capability Rankings
In the Vision Arena leaderboard, Gemini 2.5 Pro is poised to become a frontrunner in terms of its multi-modal capabilities, seamlessly integrating various forms of input for a comprehensive understanding of user queries.
Superior Code Capabilities
When evaluating code generation and editing prowess, it outperforms many traditional models. Its ability to swiftly produce intricate code lays the groundwork for a new level of software development efficiency.
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
- Select the “
g” 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.emini-2.5-pro-preview-06-05 - Replace <YOUR_AIMLAPI_KEY> with your actual CometAPI key from your account.
- Insert your question or request into the content field—this is what the model will respond to.
- . 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.
