Google's low-cost Gemini 3.1 model for high-volume multimodal calls, with a 1M-token context and $0.25/$1.50 per million pricing.
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
gemini 3.1 flash lite preview is Google's low-cost, high-throughput entry in the 3.1 lineup — the model you reach for when you're running thousands of calls a day and can't afford Pro pricing on every one of them. It still reasons, still calls functions, still reads images and video, but it's tuned for volume over depth. Teams doing document triage, multimodal classification, or lightweight agent steps are the ones who benefit most.
The context window is 1,048,576 tokens with up to 65,536 tokens of output per call, so a single request can hold a long transcript, a stack of PDFs, or hours of chat history without chunking. Pricing is $0.25 per million input tokens and $1.50 per million output tokens, and cached input drops to $0.025 per million — a 10x discount on tokens you send repeatedly, like a system prompt or a reference document that doesn't change between calls. For a support bot that re-sends a 40-page policy doc on every turn, caching alone can cut the bill by more than half.
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output — eight times the input price and eight times the output price of Flash Lite. What's notable is the capability score gap doesn't match the price gap: Flash Lite Preview sits at 88.6, actually a hair above Pro Preview's 88.5. That doesn't mean Flash Lite is the smarter model for every task; capability scores compress a lot of nuance and Pro likely wins on harder multi-step reasoning. But it does mean Flash Lite deserves a real trial before defaulting to Pro for anything short of your hardest problems.
This is a preview release, which means Google can still change pricing, rate limits, or behavior before it graduates to general availability — don't build a production SLA around it without a fallback plan. Output is text only; there's no native image or audio generation, so pipelines that need generated media alongside the response still need a second model in the loop.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
Gemini 3.1 Flash Lite Preview 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 $0.25 input and $1.50 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 3.1 Flash Lite Preview, test task quality, tool reliability, safety behavior, data controls, rate limits, and total cost on the exact route you intend to use.
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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 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.
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.