Google: Gemini 2.5 Pro
Analysis Summary
Gemini 2.5 Pro is Google's higher-capability Gemini 2.5 model, with measurable coding strength, a one-million-token context window, and input across text, images, files, audio, and video. Tool use and function calling make it suitable for workflows that need both analysis and action.
The model fits software assistance, long-document review, research synthesis, structured SEO planning, and multimodal client briefs. It is a stronger choice than Flash for difficult reasoning and code, although its measured general intelligence remains below the latest frontier models. Teams should still retain review gates for strategic recommendations and public-facing claims.
Pricing remains workable for premium production tasks, especially where the large context reduces document preprocessing. Adopt it as a capable generalist and specialist for technical or multimodal work.
Assessed August 9, 2026
Editorial notes
Gemini 2.5 Pro combines stronger coding with a million-token context, multimodal file and media input, and tool calling. Its pricing is higher than Flash, but it is better suited to complex documents, technical work, and demanding content workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 2.5 Pro combines stronger coding with a million-token context, multimodal file and media input, and tool calling. Its pricing is higher than Flash, but it is better suited to complex documents, technical work, and demanding content workflows.
How Google: Gemini 2.5 Pro compares
Google: Gemini 2.5 Pro ranks #145 of 427 AI models we track for overall intelligence, #106 of 200 for coding, #126 of 182 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $1.25 per million input tokens it is cheaper than 23% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $10.00 | $0.010000 |
What would Google: Gemini 2.5 Pro cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 714 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 2.5 Pro for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.5 Pro
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy..
Frequently asked questions about Google: Gemini 2.5 Pro
How much does Google: Gemini 2.5 Pro cost?
Google: Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of Google: Gemini 2.5 Pro?
Google: Gemini 2.5 Pro has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 2.5 Pro good for coding?
On our coding benchmark index, Google: Gemini 2.5 Pro ranks #106 of 200 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemini 2.5 Pro do?
Google: Gemini 2.5 Pro supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Pro?
Google: Gemini 2.5 Pro is developed by Google and was released on June 17, 2025.