Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints. Try in Google AI Studio
Documentation
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gemini-3.5-flash-lite
| Property | Description |
|---|---|
| Model code | gemini-3.5-flash-lite |
| Supported data types | Inputs Text, Image, Video, Audio, and PDF Output Text |
| Token limits[1](https://ai.google.dev/gemini-api/docs/tokens)^ | Input token limit 1,048,576 Output token limit 65,536 |
| Capabilities | Audio generation Not supported Caching Supported Code execution Supported Computer use Supported (Preview) File search Supported Function calling Supported Grounding with Google Maps Supported Image generation Not supported Live API Not supported Search grounding Supported Structured outputs Supported Thinking Supported URL context Supported |
| Consumption options | Batch API Supported Flex inference Supported Priority inference Supported |
| Versions | Read the model version patterns for more details. - Stable: gemini-3.5-flash-lite |
| Latest update | July 2026 |
| Model card | Model card |
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