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.
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 flash-lite latest is the cheapest model in Google's current Flash lineup, built for the kind of high-volume, low-margin-per-call workloads where price per token decides whether a feature ships at all. It shares the same 1,048,576-token context window and 65,536-token output ceiling as its Flash Latest sibling, and reasoning is switched on by default, but the price is a fraction of what Flash Latest charges — $0.25 per million input tokens and $1.50 per million output tokens, against $1.50 and $9.00 for the standard Flash tier.
This is the model for classification, extraction, routing, moderation, and other jobs that run millions of times a day rather than the model for a single hard reasoning problem. The same reasoning and function-calling support as Flash Latest is here, so it's not a stripped-down model in terms of capability shape — it's a cheaper one, tuned for scale rather than peak output quality on any single call.
At those rates, a call with 20,000 input tokens and a 500-token reply costs well under a cent — cheap enough that per-request cost mostly disappears as a design constraint, and the conversation shifts to throughput and latency instead. Cached input at $0.025 per million pushes repeat-context workloads, like the same system prompt or document reused across many calls, even lower.
Input modalities cover text, image, video, audio, and pdf, and vision is supported, so multimodal input isn't a Flash Latest-only feature. Output is text only. Function calling works, which matters for anything wiring this into an agent loop where the model needs to call tools rather than just answer.
The capability score in this listing is 89.0 for both Flash Latest and Flash-Lite Latest, a signal that the gap between them is narrower than the price gap suggests — six times cheaper on input, six times cheaper on output, without a corresponding six-times drop in listed capability. That doesn't mean they're interchangeable on every task; it means the honest move is to test both on real prompts before assuming the pricier tier is necessary.
The "Lite" name is accurate about cost, not about ability. What gets traded away by not defaulting to Flash Latest is headroom on the hardest prompts in a distribution, not baseline competence — most requests won't notice the difference, some will.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
Gemini Flash-Lite Latest 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 Flash-Lite Latest, 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.