gemini-3.1-flash-lite
gemini-3.1-flash-lite is a lightweight Flash model of the Gemini 3.1 series, suitable for large-scale tasks with clear processing rules and quick verification of results. It can be applied to email classification, form sorting, title rewriting, summary compression, FAQ matching, text deduplication and batch data annotation. In order to control costs and rework, short and structured prompt words should be used, fields, enumeration values and maximum output length should be limited, and a small number of high-value samples should be randomly checked. Automatically upgrade to stronger models or manual processes when encountering complex contexts, ambiguous requests, or high-risk judgments.
- Context
- 1048576 tokens
- Max output
- 65536 tokens
- Input
- llm image video text-to-speech
- Output
- llm
Pricing
Input: $0.25 / 1M tokens
Output: $1.5 / 1M tokens
Cached input: $0.025 / 1M tokens
Cache write: $1 / 1M tokens
Audio input: $0.5 / 1M tokens
Endpoints
- gemini
- openai