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.
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 3.5 flash lite model is Google's cheapest current entry in the Gemini 3 family, built for workloads where volume matters more than depth: chat triage, content classification, lightweight agents that call tools dozens of times per session, and any pipeline where every request adds up. It still reads images, video, audio, and PDFs alongside text, so it's not a stripped-down text-only model — it's a full multimodal model priced for scale.
A 1,048,576-token context window means Gemini 3.5 Flash Lite can hold a genuinely large document set, a long codebase, or hours of transcript in a single call without chunking. Output is capped at 65,536 tokens per response, which is plenty for structured extraction, summaries, or multi-step tool call plans but not for generating a full book in one shot.
Pricing is where this model earns its Lite branding: $0.30 per million input tokens and $2.50 per million output tokens. Cached input drops to $0.03 per million tokens, which matters a lot if your app reuses the same system prompt or reference document across thousands of calls — that's a 10x discount on the repeated portion of the context.
It supports function calling and is flagged as a reasoning model, so it can work through multi-step logic and call external tools rather than just pattern-matching a single-turn answer. Vision support means it can read screenshots, charts, and scanned documents directly, which is useful for support tooling and document pipelines that would otherwise need a separate OCR step.
Inside Google's own catalog, Gemini 3.5 Flash Lite sits just above Gemini 3.1 Flash Lite ($0.25 / $1.50 per million tokens) and well below full Gemini 3.5 Flash ($1.50 / $9.00) and Gemini 3.6 Flash ($1.50 / $7.50). A few numbers to compare directly:
That places 3.5 Flash Lite as the successor tier to 3.1 Flash Lite rather than a replacement for full Flash — it costs a bit more than the previous Lite generation but a fraction of what the non-Lite models charge per output token.
This model's own listed capability score (89.4) is nearly identical to Gemini 3.6 Flash's, despite the output price being roughly a third. That's worth testing directly on your own task rather than assuming the price gap tracks a quality gap — for high-volume, moderate-complexity work, Flash Lite is worth trying first before paying more for the full Flash tier.
Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.
Gemini 3.5 Flash Lite 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 $0.30 input and $2.50 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 3.5 Flash Lite, 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 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.