Gemini 2.5 Pro is Google’s advanced thinking model designed for complex reasoning, code generation and long-context understanding. It supports native multimodal inputs and a context window of up to 1 million tokens for demanding analysis and development workflows.
Automatically append previous messages to maintain multi-turn context. May increase token usage.
Complete guide to using
Integrate with the Gemini 2.5 Pro API, supporting 1M-token context, advanced reasoning, and multimodal inputs—available on Kie.ai with lower usage-based pricing.
The Gemini 2.5 Pro API is designed for tasks that require multi-step reasoning rather than fast pattern matching. It’s commonly used for planning, analysis, and decision-making workflows where logical consistency across the entire prompt matters more than lightweight responses.
The Gemini 2.5 Pro model can turn short instructions into runnable code instead of isolated snippets. With the Gemini 2.5 Pro API, you can prototype quickly—going from a single-line prompt to executable code that powers small apps and interactive experiences.
The Gemini 2.5 Pro API is natively multimodal, allowing a single workflow to combine different input types. It can reason over text, images, audio, video, and code when solutions depend on multiple sources of information.
A key capability of the Gemini 2.5 Pro API is its long-context support, with a context window of up to 1 million tokens. This enables large documents, extended histories, or full project context to be processed at once, with context caching helping reuse background information across repeated requests.
The Gemini 2.5 Pro API uses an internal thinking process to improve multi-step reasoning and planning. By default, it applies dynamic thinking, adjusting how much reasoning it performs based on the complexity of each request.
| Benchmark Area | Gemini 2.5 Pro | OpenAI o3-mini | OpenAI GPT-4.5 | Claude 3.7 Sonnet | Grok 3 Beta | |
|---|---|---|---|---|---|---|
| Reasoning & knowledge | Humanity’s Last Exam (no tools) | 18.80% | 14.00%* | 6.40% | 8.90% | – |
| Science | GPQA Diamond (single attempt, pass@1) | 84.00% | 79.70% | 71.40% | 78.20% | 80.20% |
| Mathematics | AIME 2025 (single attempt, pass@1) | 86.70% | 86.50% | – | 49.50% | 77.30% |
| Code generation | LiveCodeBench v5 (single attempt, pass@1) | 70.40% | 74.10% | – | – | 70.60% |
| Code editing | Aider Polyglot | 74.0% / 68.6% (whole / diff) | 60.4% (diff) | 44.9% (diff) | 64.9% (diff) | – |
| Visual reasoning | MMMU (single attempt, pass@1) | 81.70% | no MM support | 74.40% | 75.00% | 76.00% |
| Long context | MRCR (128k average) | 94.50% | 61.40% | 64.00% | – | – |
Create a Kie.ai account and generate your API key from the dashboard. Keep the key secure and use it for authenticated requests when calling the Gemini 2.5 Pro API.
Create a task by sending a POST request and specifying gemini-2.5-pro as the model. Provide your input in a structured JSON payload, following the request format defined in the Gemini 2.5 Pro API documentation.
Once the task completes, retrieve the result or receive it through a callback if configured. Use the response data to handle outputs, errors, and usage according to your application logic and API limits.
Kie.ai offers a more cost-efficient pricing model for the Gemini 2.5 Pro API compared with direct official access. Billing is usage-based and built around a credit system, allowing teams to scale usage up or down without fixed commitments, while keeping costs predictable for long-context workloads.
Kie.ai offers clear and practical Gemini 2.5 Pro API documentation, covering request parameters, request structure, examples, callbacks, and important implementation notes. In addition, 24-hour technical support is available to help developers troubleshoot issues and move from testing to production more smoothly.
The Gemini 2.5 Pro API on Kie.ai is designed for real production environments where multiple requests may run at the same time. It is built to handle concurrent API calls reliably, making it suitable for backend services, internal tools, and applications that need consistent performance under sustained traffic.
Security and observability are built into the platform. Kie.ai supports API key management with IP whitelisting, rate controls, and detailed request logs. This helps teams audit usage, troubleshoot issues, and reduce risk when operating the Gemini 2.5 Pro API in production environments.
Used in document analysis and review services where entire reports, contracts, or large datasets need to be processed in a single request. By calling the gemini-2.5-pro API, backend systems can return a single, coherent result without manual chunking, helping preserve structure, references, and overall consistency.
Commonly integrated into developer tools and internal services that turn natural language requirements into working code. The Gemini 2.5 Pro API can return complete scripts or application logic in one response, making it useful for rapid prototyping and automation workflows.
Applied in workflows that need to analyze mixed inputs such as screenshots with logs, images with descriptions, or short video clips with metadata. By sending multimodal data to the gemini-2.5-pro API, systems can receive structured analysis results in a single call, simplifying downstream processing.
Gemini 3 Pro is the latest-generation Gemini model, designed for more advanced reasoning and complex multimodal tasks. It’s typically used when higher accuracy, deeper reasoning, or more demanding workloads are required beyond what Gemini 2.5 Pro provides.
Gemini 3 Flash focuses on speed and efficiency. It’s a good fit for high-throughput applications where low latency and lower cost matter more than deep, multi-step reasoning, such as real-time responses, lightweight analysis, or large-volume requests.
Gemini 2.5 Flash offers a balanced option between capability and cost within the 2.5 generation. Developers often choose it for faster responses and routine tasks, while reserving Gemini 2.5 Pro API for long-context analysis, complex reasoning, or code generation workloads.