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Gemini 2.5 Pro

Google · Gemini 2.5

High-capability Gemini tier for long-context multimodal reasoning and advanced enterprise workflows.

Part of Gemini Pro family · Other versions: Gemini 3.1 Pro Preview , Gemini 3 Pro (Preview)
Type
multimodal
Context
1M tokens
Max Output
66K tokens
Status
current
Input
$1.25/1M tok
Output
$10/1M tok
API Access
Yes
License
proprietary
multimodal long-context reasoning enterprise tool-use
Released March 2025 · Updated March 6, 2026

Overview

Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on February 15, 2026.

Gemini 2.5 Pro is Google’s stable high-capability tier for difficult multimodal and long-context tasks. Google describes it as the state-of-the-art thinking model in the stable Gemini lineup, and it remains the safest default when teams want premium capability without adopting preview-model lifecycle risk.

Capabilities

The model is effective for large-context reasoning, technical analysis, multimodal interpretation, and harder coding or STEM-style reasoning tasks. It is frequently used for complex planning and assistant workflows that require higher quality across diverse inputs.

Technical Details

Google’s model docs list Gemini 2.5 Pro with a 1,048,576 token input window and a 65,536 token output limit. It supports text, image, video, audio, and PDF inputs plus tooling features such as code execution, file search, function calling, search grounding, URL context, and structured outputs.

Pricing & Access

Google’s current Gemini API pricing lists Gemini 2.5 Pro at 1.25per1Minputtokensand1.25 per 1M input tokens and 10 per 1M output tokens for prompts up to 200K tokens, with higher rates above that threshold. Access is available through Google AI Studio and Vertex AI.

Best Use Cases

Best for complex enterprise copilots, multimodal document workflows, advanced retrieval assistants, and difficult analysis tasks requiring long context.

Comparisons

Compared with GPT-5.4, Gemini 2.5 Pro is often selected for Google ecosystem alignment and multimodal-heavy pipelines. Compared with Claude Opus 4.6, tradeoffs usually center on reasoning style and platform integration. Compared with Gemini 2.5 Flash, Pro prioritizes higher capability over lower cost and latency.