Google: Gemini 2.5 Flash Lite
Analysis Summary
Google Gemini 2.5 Flash Lite is a lightweight multimodal model designed for broad input handling rather than difficult reasoning. It accepts text, images, files, audio, and video, supports tool use and function calling, and provides a 1M token context window. Those capabilities give it an unusually wide operational range for a low-cost model.
It suits document extraction, media classification, basic SEO production, content transformation, and high-volume customer workflows with predictable instructions. The measured reasoning capability is limited, so complex analysis, original strategy, and high-stakes client-facing work should be routed elsewhere. There is no supplied coding or agentic benchmark evidence to support stronger claims in those areas.
Its pricing is the central advantage. Use it as a volume tier for multimodal processing and routine structured output, with a stronger model handling exceptions and difficult decisions.
Assessed August 9, 2026
Editorial notes
Gemini 2.5 Flash Lite offers a 1M token context, vision, audio, video, file handling, tool use, and function calling at very low pricing. Its limited reasoning capability makes it best for routine, high-volume automation.
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DFO Verdict
Gemini 2.5 Flash Lite offers a 1M token context, vision, audio, video, file handling, tool use, and function calling at very low pricing. Its limited reasoning capability makes it best for routine, high-volume automation.
How Google: Gemini 2.5 Flash Lite compares
Google: Gemini 2.5 Flash Lite ranks #260 of 432 AI models we track for overall intelligence. Its 1M-token context window is larger than 94% of the models we list. At $0.10 per million input tokens it is cheaper than 70% 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 value. 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 | $0.10 | $0.000100 |
| Output | $0.40 | $0.000400 |
What would Google: Gemini 2.5 Flash Lite 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 743 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 Lite for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.5 Flash Lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance..
Frequently asked questions about Google: Gemini 2.5 Flash Lite
How much does Google: Gemini 2.5 Flash Lite cost?
Google: Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens.
What is the context window of Google: Gemini 2.5 Flash Lite?
Google: Gemini 2.5 Flash Lite has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 2.5 Flash Lite do?
Google: Gemini 2.5 Flash Lite supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Flash Lite?
Google: Gemini 2.5 Flash Lite is developed by Google and was released on July 22, 2025.