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Gemini 2.5 Flash: Pricing, Context Window & Benchmarks

by Google

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).

Chat with Gemini 2.5 Flash
Input Price
$0.30/1M tokens
Output Price
$2.50/1M tokens
Intelligence
20.5
Coding
17.8

What you can do with Gemini 2.5 Flash

Everyday Q&A and clear explanations

Writing help (emails, posts, summaries)

Idea generation and brainstorming

Learning support with step-by-step guidance

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Highlights

6 tests
GPQA
68.3%
MMLU Pro
80.9%
LiveCodeBench
49.5%
Math 500
93.2%
AIME 2025
60.3%
HLE
5.1%
Metric Value
Provider Google
Context Window 1,048,576 tokens
Input Price $0.30/1M tokens
Output Price $2.50/1M tokens
Release Date May 20, 2025
Modalities file, image, text, audio, video
Capabilities Vision, Audio Input

Compare Gemini 2.5 Flash to other models

See how it stacks up on price, quality, and overall performance.

Frequently asked questions

What is Gemini 2.5 Flash good for?

Use Gemini 2.5 Flash for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.

How much does Gemini 2.5 Flash cost?

Pricing is based on usage. Current rates are $0.30/1M tokens for input and $2.50/1M tokens for output.

Can I try Gemini 2.5 Flash for free?

Yes. You can start a chat instantly and test the model before deciding on a plan.

Does Gemini 2.5 Flash support images or audio?

Gemini 2.5 Flash can understand images.

Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.