Google: Gemini 2.5 Flash
Analysis Summary
Gemini 2.5 Flash is a fast, budget-oriented Google model with a one-million-token context window and broad multimodal input covering images, files, audio, and video. Tool use and function calling make it suitable for API-driven automation, while the low input price supports substantial traffic volumes.
For an agency, it fits document extraction, content transformation, media summarisation, SEO briefs, and routine customer workflows. The large context is useful for long source packs and policy documents, but the available benchmark data places its reasoning capability well below premium models. High-stakes analysis and nuanced editorial judgement should therefore be routed elsewhere.
Use Gemini 2.5 Flash as a volume model for multimodal and long-context tasks where cost control matters more than frontier reasoning.
Assessed September 7, 2026
Editorial notes
Gemini 2.5 Flash offers million-token context, multimodal input, tool use, and function calling at low input cost. It is well suited to high-volume document and media workflows, although its measured reasoning depth is below current flagship models.
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DFO Verdict
Gemini 2.5 Flash offers million-token context, multimodal input, tool use, and function calling at low input cost. It is well suited to high-volume document and media workflows, although its measured reasoning depth is below current flagship models.
How Google: Gemini 2.5 Flash compares
Google: Gemini 2.5 Flash ranks #193 of 435 AI models we track for overall intelligence. Its 1M-token context window is larger than 94% of the models we list. At $0.30 per million input tokens it is cheaper than 48% 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 | $0.30 | $0.000300 |
| Output | $2.50 | $0.002500 |
What would Google: Gemini 2.5 Flash 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 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 2.5 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.5 Flash
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..
Frequently asked questions about Google: Gemini 2.5 Flash
How much does Google: Gemini 2.5 Flash cost?
Google: Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens.
What is the context window of Google: Gemini 2.5 Flash?
Google: Gemini 2.5 Flash has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 2.5 Flash do?
Google: Gemini 2.5 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Flash?
Google: Gemini 2.5 Flash is developed by Google and was released on June 17, 2025.