Google: Gemini 3.5 Flash
Analysis Summary
Gemini 3.5 Flash is a broad multimodal model with strong coding evidence, a one-million-token context window, and support for image, file, audio, and video inputs. Tool use and function calling extend it beyond content generation into operational workflows, while the available capability profile indicates strong performance for both technical and general tasks.
It is well suited to code assistance, large-document analysis, visual content audits, media extraction, SEO operations, and customer-facing assistants that need more than text. The agentic results are useful but not at the level of the strongest specialist agent models, so high-impact workflows should retain execution checks and fallback handling.
The pricing is competitive for this breadth of capability. Put it on client workflows where multimodality, context capacity, and throughput matter, and route simple bulk copy to a cheaper tier.
Assessed September 7, 2026
Editorial notes
Gemini 3.5 Flash combines strong reasoning and coding with a 1M token context, vision, audio, video, and function calling, making it a versatile production model for multimodal and agentic workflows.
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DFO Verdict
Gemini 3.5 Flash combines strong reasoning and coding with a 1M token context, vision, audio, video, and function calling, making it a versatile production model for multimodal and agentic workflows.
How Google: Gemini 3.5 Flash compares
Google: Gemini 3.5 Flash ranks #55 of 438 AI models we track for overall intelligence, #34 of 210 for coding, #65 of 192 for agentic tasks. Its 1M-token context window is larger than 94% of the models we list. At $1.50 per million input tokens it is cheaper than 20% 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 intelligence 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 | $1.50 | $0.001500 |
| Output | $9.00 | $0.009000 |
What would Google: Gemini 3.5 Flash 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 779 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution..
Frequently asked questions about Google: Gemini 3.5 Flash
How much does Google: Gemini 3.5 Flash cost?
Google: Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens.
What is the context window of Google: Gemini 3.5 Flash?
Google: Gemini 3.5 Flash has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.5 Flash good for coding?
On our coding benchmark index, Google: Gemini 3.5 Flash ranks #34 of 210 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.5 Flash do?
Google: Gemini 3.5 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.5 Flash?
Google: Gemini 3.5 Flash is developed by Google and was released on May 19, 2026.