Google: Gemini 2.0 Flash Lite
Analysis Summary
Google Gemini 2.0 Flash Lite is a multimodal model with a 1M-token context window, supporting text, image, file, audio, and video input. The supplied data also lists tool use and function calling. Its measured intelligence result is modest, so the long context and broad input support should be viewed as workflow conveniences, not evidence of high-end reasoning.
Those features make it a candidate for high-volume intake, document processing, and multimodal triage when tasks are clearly scoped and outputs can be checked. Function calling may help connect it to routine business processes, but the available data does not show strong coding or agentic performance. It is a weaker fit for complex decision-making or unsupervised client-facing analysis.
Listed input and output prices are low, and the large context can reduce the need to split long materials. Consider it for cost-sensitive automation where breadth of input matters more than deep reasoning, with a stronger model available for escalations.
Assessed September 23, 2026
Editorial notes
Gemini 2.0 Flash Lite offers a 1M-token context, vision, audio and video input, plus tool and function calling at low listed prices; its measured reasoning capability is limited compared with higher-tier models.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Gemini 2.0 Flash Lite offers a 1M-token context, vision, audio and video input, plus tool and function calling at low listed prices; its measured reasoning capability is limited compared with higher-tier models.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for Google: Gemini 2.0 Flash Lite yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How Google: Gemini 2.0 Flash Lite compares
Google: Gemini 2.0 Flash Lite ranks #297 of 435 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $0.08 per million input tokens it is cheaper than 68% 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.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.08 | $0.000075 |
| Output | $0.30 | $0.000300 |
What would Google: Gemini 2.0 Flash Lite cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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Talk to our teamAbout Google: Gemini 2.0 Flash Lite
Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintaining quality on par with larger models like Gemini Pro 1.5,..
Frequently asked questions about Google: Gemini 2.0 Flash Lite
How much does Google: Gemini 2.0 Flash Lite cost?
Google: Gemini 2.0 Flash Lite costs $0.08 per million input tokens and $0.30 per million output tokens.
What is the context window of Google: Gemini 2.0 Flash Lite?
Google: Gemini 2.0 Flash Lite has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 2.0 Flash Lite do?
Google: Gemini 2.0 Flash Lite supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.0 Flash Lite?
Google: Gemini 2.0 Flash Lite is developed by Google and was released on February 25, 2025.