Google: Gemini 3.6 Flash
Analysis Summary
Gemini 3.6 Flash is Google's benchmarked fast-tier model with an intelligence index of 51.6 and a coding index of 69.2. It supports tool use and function calling, accepts text, images, files, audio, and video, and provides a 1M token context window. That combination supports demanding analysis while retaining broad input flexibility.
For an agency, it fits long-document review, SEO research, content generation, multimodal brief processing, coding assistance, and tool-enabled automation. Its agentic index of 40.5 is useful for structured workflows, though it is less compelling for the most autonomous multi-step tasks than the leading agent specialists. The pricing is favourable for sustained production volume.
Adopt it as a broad client-workflow model where context, modality, speed, and cost all matter. Reserve the hardest reasoning and highest-risk agent tasks for a stronger flagship when reliability is the priority.
Assessed August 23, 2026
Editorial notes
Gemini 3.6 Flash pairs world-class reasoning with strong coding, a 1M token context window, multimodal input, and tool calling at accessible pricing. It is a strong choice for content, analysis, and high-volume agentic workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3.6 Flash pairs world-class reasoning with strong coding, a 1M token context window, multimodal input, and tool calling at accessible pricing. It is a strong choice for content, analysis, and high-volume agentic workflows.
How Google: Gemini 3.6 Flash compares
Google: Gemini 3.6 Flash ranks #34 of 430 AI models we track for overall intelligence, #31 of 203 for coding, #44 of 185 for agentic tasks. Its 1M-token context window is larger than 94% of the models we list. At $0.75 per million input tokens it is cheaper than 31% 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 | $0.75 | $0.000750 |
| Output | $3.75 | $0.003750 |
What would Google: Gemini 3.6 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 738 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3.6 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.6 Flash
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and..
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Frequently asked questions about Google: Gemini 3.6 Flash
How much does Google: Gemini 3.6 Flash cost?
Google: Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens.
What is the context window of Google: Gemini 3.6 Flash?
Google: Gemini 3.6 Flash has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.6 Flash good for coding?
On our coding benchmark index, Google: Gemini 3.6 Flash ranks #31 of 203 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.6 Flash do?
Google: Gemini 3.6 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.6 Flash?
Google: Gemini 3.6 Flash is developed by Google and was released on July 21, 2026.