Analysis Summary
Gemini 2.5 Flash is Google's fast, cost-oriented multimodal model, supporting image, file, audio, and video input alongside tool use and function calling. Its one-million-token context window is well suited to long documents and mixed-media briefs, while the low input price supports substantial automation volume.
It fits SEO production, content transformation, customer-support triage, document extraction, media analysis, and lightweight agents. The measured intelligence is below flagship level, so complex strategic reasoning, nuanced editorial review, and unsupervised high-stakes decisions should be routed elsewhere. Its broad modality is a practical advantage for agencies handling varied client assets.
Use Flash as a volume workhorse with quality checks. It offers a strong balance of context, modality, and cost for routine production pipelines.
Assessed August 9, 2026
Editorial notes
Gemini 2.5 Flash delivers a million-token context, multimodal input across image, file, audio, and video, plus tool calling at low cost. Its lower reasoning level makes it best for fast, high-volume workflows rather than complex judgement.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 2.5 Flash delivers a million-token context, multimodal input across image, file, audio, and video, plus tool calling at low cost. Its lower reasoning level makes it best for fast, high-volume workflows rather than complex judgement.
How Google: Gemini 2.5 Flash compares
Google: Gemini 2.5 Flash ranks #176 of 427 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
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 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..
Explore Related Models
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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 22, 2026 8:38 pm