Google · Gemini 2.5

Gemini 2.5 Pro

Google's bet on massive context and native multimodality.

Gemini 2.5 Pro is a multimodal AI model developed by Google and is part of the Gemini family. It is designed to process and generate outputs across text, image, file, audio, and video inputs while catering to advanced AI development needs across diverse applications.

With a massive context window of 1,048,576 tokens, it excels in maintaining coherence over large inputs and facilitates high-quality outputs across different data types. The model’s architecture supports seamless multimodal integration, making it highly capable for handling complex tasks such as deep data analysis or multimedia generation.

Gemini 2.5 Pro represents the flagship tier of the Gemini family, featuring significant upgrades such as a much-expanded context window, enhanced multimodal processing, and improved accuracy. These advancements mark a substantial improvement over its predecessors, specifically in managing complex datasets and integrating multiple input types cohesively.

Background

Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind, and the successor to LaMDA and PaLM 2. Comprising Gemini Pro, Gemini Deep Think, Gemini Flash, and Gemini Flash Lite, it was announced on December 6, 2023. It powers the chatbot of the same name.

Wikipedia

Specs

Context window: 1.0M tokens
Max output: 66K tokens
Input ($/1M tokens): $1.25
Output ($/1M tokens): $10.00
Modalities: Text · Image · File · Audio · Video
Weights: Closed

Pricing last synced Apr 27, 2026 via OpenRouter. Confirm against official docs before committing.

Capabilities

Tool use
Vision
Extended thinking
Prompt caching
Open weights

What it excels at

Extended context processing
Handles sequences of up to 1,048,576 tokens without significant degradation in performance.
Multimodal integration
Processes and combines text, image, audio, video, and other data types cohesively for coherent outputs.
High-quality outputs
Produces contextually accurate and refined responses across all supported modalities.
Versatility in applications
Performs across diverse workflows like document analysis and multimedia generation.
Scalability for enterprises
Optimized for handling resource-intensive workflows and large-scale deployments.

When to use this model

→Long-form document analysis — Excels in analyzing and summarizing large documents due to its expanded context window.
→Multimodal content creation — Generates synchronized outputs across text, images, videos, and other formats.
→Enterprise-level customer support — Manages multimodal queries with nuanced comprehension and response generation.
→Integrated multimedia workflows — Enables seamless creation and integration of multimedia content for various use cases.
→Advanced data analysis — Processes and cross-references complex datasets for comprehensive insights.

Analysis synthesized from gpt-4o, llama-4-maverick, phi-4, etc.

API model id

gemini-2.5-pro

Vendor docs: ai.google.dev/docs

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