Google's mid-tier Gemini 3 model: 1,048,576-token context, multimodal input, and $1.50/$7.50 per million token pricing for production agent workloads.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
The gemini 3.6 flash model is Google's current mid-tier Gemini 3 offering — built for production workloads that need more headroom than a Lite model but don't justify a frontier-tier price tag. Think RAG pipelines over long documents, coding assistants that need to hold a full repo in context, and agents that chain several tool calls per task.
At $1.50 per million input tokens and $7.50 per million output tokens, Gemini 3.6 Flash costs three times as much per output token as Gemini 3.5 Flash Lite ($2.50) but comes in cheaper than Google's own Gemini 3.5 Flash, which charges $9.00 per million output tokens at the same input price. Cached input runs $0.15 per million tokens — a 10x discount over standard input pricing, worth designing around if your prompts reuse the same system instructions or reference material call after call.
The input side accepts text, image, video, audio, and PDF; output is text only. Combined with a 1,048,576-token context window and a 65,536-token output cap, that's enough room to hand the model an entire codebase, a long video transcript, or a stack of scanned PDFs and get a structured text response back in one call.
Function calling and reasoning are both supported, so this model handles multi-step logic and external tool use rather than one-shot completions only. Against Gemini 3.5 Flash, the direct predecessor in the non-Lite line, 3.6 Flash charges the same for input but noticeably less for output — a meaningful saving if your workload is output-heavy, like long-form generation or verbose tool call traces. Against the Lite models (3.1 Flash Lite and 3.5 Flash Lite), it's the model to reach for once a Lite model starts producing shallow or inconsistent answers on your specific task.
There's no listed knowledge cutoff date for this model in the registry, so if your use case depends on knowing exactly how current its training data is, confirm that directly rather than assume. And at a capability score of 89.4, it's close enough to Gemini 3.5 Flash Lite's own 89.4 that teams with simple, high-volume tasks should test both before defaulting to the pricier option.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
Gemini 3.6 Flash is categorized for Audio-text-to-text, Automatic speech recognition, Image-text-to-text, Image-to-text, Text generation, Text-to-text AI models, Video-text-to-text. Its current record accepts text, image, video, audio, pdf and produces text. Confirm file formats, preprocessing, and provider-specific request schemas before implementation.
The directory records 1.0M context and 65.5K maximum output. Listed token prices are $1.50 input and $7.50 output per 1M tokens. Treat missing values as unknown and recheck current commercial terms.
Recorded output speed is — and time to first token is —. Hosting route, region, prompt length, concurrency, and provider load can materially change both measurements.
This page separates sourced model facts from incomplete fields. Benchmark evidence is displayed only when its source is linked and verified. Before choosing Gemini 3.6 Flash, test task quality, tool reliability, safety behavior, data controls, rate limits, and total cost on the exact route you intend to use.
Related approved models in Automatic speech recognition. Compare specifications and verify fit for your workload.
Google's low-cost Gemini 3 model with a 1,048,576-token context window, vision support, and $0.30/$2.50 per million token pricing for volume workloads.
Google's cheapest Gemini 3 model, with a 1,048,576-token context window and $0.25/$1.50 per million token pricing for high-volume, cost-sensitive work.
Google's full Gemini 3 Flash model, with a 1,048,576-token context window and $1.50/$9.00 per million token pricing for production-grade agent work.
Google's fast, rolling-updated Gemini model with a 1M-token context window, reasoning, and tool calling at $1.50/$9.00 per million tokens.
Google's low-cost, high-volume Gemini model at $0.25/$1.50 per million tokens, with a 1M-token context window and reasoning support.