Google: Gemini 3.5 Flash
Analysis Summary
Gemini 3.5 Flash is a broad multimodal Google model with strong reasoning and coding performance, a one-million-token context window, and support for text, images, files, audio, and video. Tool use and function calling make it practical for connected workflows, while the large context supports codebases, research archives, and detailed client briefs. Its modality range is a particular advantage when inputs extend beyond text.
The model is well suited to software assistance, multimodal content operations, document analysis, SEO research, and agents that need to interpret rich source material before acting. Its agentic measurements are below the leading specialist models, so high-impact actions should use explicit constraints and review. For routine work, its speed-oriented positioning can also support volume without requiring separate models for every input type.
Pricing is competitive for the capability breadth. Adopt Gemini 3.5 Flash as a primary choice for mixed-media workflows and a strong option for teams seeking one model across analysis, coding, and content production.
Assessed August 9, 2026
Editorial notes
Gemini 3.5 Flash combines frontier reasoning and coding with a million-token context, broad audio, video, image, and file input, and tool calling. Its price-performance profile suits both complex analysis and high-volume multimodal workflows.
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DFO Verdict
Gemini 3.5 Flash combines frontier reasoning and coding with a million-token context, broad audio, video, image, and file input, and tool calling. Its price-performance profile suits both complex analysis and high-volume multimodal workflows.
How Google: Gemini 3.5 Flash compares
Google: Gemini 3.5 Flash ranks #28 of 425 AI models we track for overall intelligence, #27 of 198 for coding, #41 of 180 for agentic tasks. Its 1M-token context window is larger than 95% 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 content. The pulled-in value 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.
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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 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..
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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 #27 of 198 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.