Gemini 2.5 Pro
VerifiedGoogle's multimodal model for long-context reasoning across media types.
About Gemini 2.5 Pro
Gemini 2.5 Pro was designed by Google as a native multimodal system. It integrates inputs from multiple modalities within a single large context window. The architecture supports unified processing of text, visual, and auditory data without separate pipelines.
Its primary strengths lie in maintaining coherence over extended multimodal sequences. The model handles tasks that require cross-referencing information across documents, videos, and audio recordings. Closed weights allow Google to manage updates and safety controls centrally.
Typical usage includes video summarization, long-form document analysis, and multi-turn conversations involving mixed media. Developers integrate it via Google APIs for enterprise applications that demand high context capacity. It suits workflows where accuracy across modalities is essential.
Capabilities
How Gemini 2.5 Pro compares
Gemini 2.5 Pro (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Gemini 2.5 Pro ranks #99 of 139
Nova Premier 1.0Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis
Gemini 2.5 Pro processes inputs up to 1,048,576 tokens, enabling full analysis of lengthy reports, codebases, or books without chunking.
Multimodal Tasks
Its multimodal design supports integrated handling of text with images and other media for visual reasoning and cross-modal queries.
Extended Context Workflows
The model maintains coherence across very large contexts, suiting applications like multi-turn research or comprehensive data synthesis.
Strengths & limitations
Strengths
- +Very large context window for extended inputs
- +Native support for multiple modalities in one model
- +Strong integration of text with visual and audio data
- +Effective handling of complex, multi-part files
Limitations
- –Higher latency on very large multimodal inputs
- –Performance can vary with extremely long contexts
- –Dependent on Google infrastructure for access
Cost calculator
Estimate what Gemini 2.5 Pro would cost for your usage.
Based on Gemini 2.5 Pro's $1.25/1M input · $10.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "google/gemini-2.5-pro",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: google/gemini-2.5-pro
Editor's verdict
Gemini 2.5 Pro is Google's proprietary multimodal with a 1049K-token context window.
At $10.00 per 1M output tokens, it is premium-priced for its class.
It is available through Google's API and aggregators like OpenRouter.
Best suited to very large context window for extended inputs and native support for multiple modalities in one model.
Frequently asked questions
The model provides a context length of 1,048,576 tokens.
User reviews
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Other Gemini models
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