Analysis Summary
Gemini 3.5 Flash-Lite is Google's lower-cost model in this batch, offering text, image, file, audio, and video input, tool use, function calling, and a 1,048,576-token context window. Its listed coding results are much stronger than its reasoning and agentic measurements. That profile favors bounded coding assistance and structured processing over open-ended planning or autonomous multi-step work.
The listed rates are $0.30 per million input tokens and $2.50 per million output tokens, making it a candidate for routine, higher-volume workloads. It could support media and document intake, content transformations, and coding tasks with review. For client deployment, separate simple high-volume calls from tasks where deep reasoning or tool reliability is essential, and validate the latter before relying on the model independently.
Assessed September 23, 2026
Editorial notes
Gemini 3.5 Flash-Lite offers a million-token context, multimodal input, and tool calling at low listed prices, with coding results stronger than its reasoning and agentic measurements.
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 3.5 Flash-Lite offers a million-token context, multimodal input, and tool calling at low listed prices, with coding results stronger than its reasoning and agentic measurements.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
How Google: Gemini 3.5 Flash-Lite compares
Google: Gemini 3.5 Flash-Lite ranks #155 of 447 AI models we track for overall intelligence, #19 of 199 for coding, #66 of 181 for agentic tasks. 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 43% 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 | $0.30 | $0.000300 |
| Output | $2.50 | $0.002500 |
What would Google: Gemini 3.5 Flash-Lite cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3.5 Flash-Lite for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.5 Flash-Lite
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
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Frequently asked questions about Google: Gemini 3.5 Flash-Lite
How much does Google: Gemini 3.5 Flash-Lite cost?
Google: Gemini 3.5 Flash-Lite costs $0.30 per million input tokens and $2.50 per million output tokens.
What is the context window of Google: Gemini 3.5 Flash-Lite?
Google: Gemini 3.5 Flash-Lite has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.5 Flash-Lite good for coding?
On our coding benchmark index, Google: Gemini 3.5 Flash-Lite ranks #19 of 199 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.5 Flash-Lite do?
Google: Gemini 3.5 Flash-Lite supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.5 Flash-Lite?
Google: Gemini 3.5 Flash-Lite is developed by Google and was released on July 21, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: November 7, 2026 7:38 pm