Google: Gemini 3.6 Flash
Analysis Summary
Gemini 3.6 Flash is Google's multimodal model, with measured coding results that are considerably stronger than its reasoning and agentic measurements. It supports tool use and function calling, accepts text, images, files, audio, and video, and offers a 1,048,576-token context window. Those capabilities support workflows spanning code, large documents, and media, though the benchmark profile points more clearly to coding than to complex autonomous reasoning.
It is a practical choice for code assistance, long-document processing, and multimodal intake where the task can be checked or decomposed. Listed pricing is $0.75 per million input tokens and $3.75 per million output tokens. The combination of context, modalities, and tools makes it suitable for client workflow trials, while agentic tasks should be tested carefully rather than inferred from coding performance.
Assessed September 23, 2026
Editorial notes
Gemini 3.6 Flash combines strong coding results with a million-token context, multimodal input, and tool calling; its reasoning and agentic measurements are less strong than its coding profile.
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 3.6 Flash combines strong coding results with a million-token context, multimodal input, and tool calling; its reasoning and agentic measurements are less strong than its coding profile.
Benchmarks
Artificial Analysis data refreshed Nov 7, 2026. Arena ratings from the Oct 28, 2026 text leaderboard, with style control.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How Google: Gemini 3.6 Flash compares
Google: Gemini 3.6 Flash ranks #53 of 447 AI models we track for overall intelligence, #33 of 199 for coding, #43 of 181 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.75 per million input tokens it is cheaper than 28% 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 | $0.75 | $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.
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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..
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 #33 of 199 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.