Google: Gemini 3.5 Flash-Lite
Analysis Summary
Gemini 3.5 Flash-Lite is a cost-focused multimodal model with a context window exceeding one million tokens, vision, file, audio, and video input, plus tool use and function calling. Its measured intelligence is paired with stronger coding capability, making it useful for structured content operations, extraction, SEO production, and lightweight automation.
The $0.30 input and $2.50 output pricing supports high-volume traffic, while the broad modality makes it suitable for asset review and document processing. Its agentic capability is weaker than its coding profile, so complex autonomous workflows and high-stakes reasoning should remain with a stronger model.
Use it as a volume tier for drafts, classification, transformations, and multimodal intake. Add review controls for final client deliverables.
Assessed August 9, 2026
Editorial notes
Gemini 3.5 Flash-Lite delivers good coding capability, multimodal input, million-token context, and tool calling at low prices, making it well suited to high-volume structured content workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3.5 Flash-Lite delivers good coding capability, multimodal input, million-token context, and tool calling at low prices, making it well suited to high-volume structured content workflows.
How Google: Gemini 3.5 Flash-Lite compares
Google: Gemini 3.5 Flash-Lite ranks #82 of 425 AI models we track for overall intelligence, #67 of 198 for coding, #68 of 180 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 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 3.5 Flash-Lite 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 704 models → Price Calculator
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.
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 #67 of 198 models, placing it in the broader range 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.