Google's mid-tier Gemini 3 Flash preview with multimodal input, a 1M-token context, and $0.50/$3.00 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.
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gemini 3 flash preview is Google's mid-tier model from the 3-generation Gemini line, sitting between the ultra-cheap Flash Lite tier and the expensive Pro tier on price, while landing right in the middle on capability too. It brought frontier-style multimodal reasoning down to a cheaper price point when it shipped, and it's the model to reach for when a task needs more than simple extraction but doesn't justify Pro's cost.
Input tokens cost $0.50 per million, output tokens $3.00 per million, and cached input runs $0.05 per million — a straightforward 10x discount on repeated content. The context window is 1,048,576 tokens with up to 65,536 tokens of output, so it can hold long documents or extended conversation history without needing to chunk input across multiple calls. For a workload that sends a large reference document on every request, caching that document once and reusing it across calls cuts the effective input cost by 90%.
The capability score here is 88.2, a step below both Gemini 3.1 Flash Lite Preview (88.6) and Gemini 3.1 Pro Preview (88.5) — a useful reminder that newer and cheaper doesn't always mean weaker, and older doesn't always mean stronger. Priced at $0.50/$3.00, it sits between Flash Lite's $0.25/$1.50 and Pro's $2.00/$12.00, but on this capability metric alone it doesn't clearly justify the premium over Flash Lite. Worth an A/B test on your own task before assuming the middle price tier is the middle-quality tier.
This is a preview release from the 3 generation, not the newer 3.1 line, so newer Gemini releases may have already superseded it on cost or capability for the same task. Output is text only, and there's no benchmark suite attached to this listing — the capability score is the only comparative number available, and it should be treated as a rough signal, not a ranking.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
Gemini 3 Flash 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 $0.50 input and $3.00 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 Flash Preview, 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 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.