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Gemini 3.6 Flash

Gemini 3.6 Flash is the Flash-tier workhorse of the Gemini 3.x line, improving coding, agentic execution, and web development output while consuming fewer output tokens and making fewer model calls than Gemini 3.5 Flash, with built-in computer use and a context window of 1M tokens. Your use is subject to Google's Terms & Privacy Policies.

ReasoningFile InputTool UseVision (Image)Implicit CachingWeb Search
Use with AI GatewayView docs
import { streamText } from 'ai'


const result = streamText({
  model: 'google/gemini-3.6-flash',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What changed in Gemini 3.6 Flash compared to Gemini 3.5 Flash?

    Gemini 3.6 Flash improves coding, knowledge work, and multimodal performance while consuming fewer output tokens. It also completes multi-step workflows with fewer reasoning steps and fewer tool calls, and computer use now ships as a built-in tool.

  • How do I control how much Gemini 3.6 Flash thinks before it answers?

    Set thinkingLevel under providerOptions.google.thinkingConfig. Gemini 3.6 Flash defaults to medium. Use minimal or low for extraction, routing, and classification, and high for autonomous subagents and long tool-use chains.

  • Which benchmark results improved over Gemini 3.5 Flash?

    Gemini 3.6 Flash scores 49% on DeepSWE against 37%, 63.9% on MLE Bench against 49.7%, 83.0% on OSWorld-Verified against 78.4%, and 1421 on GDPval-AA v2 against 1349. Validate against your own workload before you migrate production traffic.

  • Which input types does Gemini 3.6 Flash accept?

    Text, images, audio, video, and PDF documents, within a context window of 1M tokens. Output is text only, up to 64K tokens. Gemini 3.6 Flash does not generate images or audio.

  • Does Gemini 3.6 Flash support computer use?

    Yes, as a built-in client-side tool rather than something you assemble yourself. OSWorld-Verified results improved over Gemini 3.5 Flash, which matters for agents that click through browsers and desktop applications.

  • Does Gemini 3.6 Flash support function calling and structured outputs?

    Yes. Function calling, structured outputs, code execution, search grounding, URL context, and context caching are all supported. Reach them through the AI SDK, the OpenAI-compatible Chat Completions endpoint, the Responses API, or another supported interface.

  • How much does Gemini 3.6 Flash cost on AI Gateway?

    Current rates are $1.5 per million input tokens and $7.5 per million output tokens, listed on this page and subject to provider updates. AI Gateway reflects provider pricing with no markup and charges no platform fee on inference.

  • How do I call Gemini 3.6 Flash on AI Gateway?

    Set the model to google/gemini-3.6-flash using the AI SDK, the Chat Completions endpoint, the Responses API, or another supported interface. AI Gateway handles provider routing, retries, and failover, and you do not need a Google Cloud account.

  • When should I use Gemini 3.6 Flash instead of Gemini 3.5 Flash-Lite?

    Choose Gemini 3.6 Flash when a task needs reasoning depth, code quality, or reliable computer use. Choose google/gemini-3.5-flash-lite for high-volume extraction, classification, and scoped subagent steps where per-token cost caps how much you can process.

  • How does Zero Data Retention work with Gemini 3.6 Flash through AI Gateway?

    Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.