Analysis Summary
Gemini 3.6 Flash is a high-capability multimodal model with very strong measured reasoning and coding performance. Its million-token context, support for text, images, files, audio, and video, plus tool use and function calling, provide a broad foundation for document analysis, software tasks, content production, and agentic workflows.
The $1.50 input and $7.50 output prices place it below the most expensive flagship tiers while retaining substantial capability. Agentic performance is less dominant than coding and general reasoning, so highly autonomous workflows still warrant careful tool permissions and monitoring.
It is a strong default for teams needing one model across multimodal content, code, and long-context analysis. Use a cheaper Flash-Lite tier for routine volume where quality requirements are lower.
Assessed August 9, 2026
Editorial notes
Gemini 3.6 Flash combines very strong reasoning and coding with million-token multimodal context, audio and video support, tool use, and competitive pricing for broad client automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 3.6 Flash combines very strong reasoning and coding with million-token multimodal context, audio and video support, tool use, and competitive pricing for broad client automation.
How Google: Gemini 3.6 Flash compares
Google: Gemini 3.6 Flash ranks #26 of 420 AI models we track for overall intelligence, #25 of 193 for coding, #36 of 175 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 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 | $1.50 | $0.001500 |
| Output | $7.50 | $0.007500 |
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 688 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 $1.50 per million input tokens and $7.50 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 #25 of 193 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm