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Model details

Gemini 3.1 Flash Lite (Vertex AI)

Gemini 3.1 Flash Lite is Google's high-efficiency member of the Gemini 3 series, positioned as the fastest and most cost-efficient model in that lineup according to Google's own announcement. The model is designed for high-volume, low-latency workloads where responsiveness and operating cost matter most than raw capability, making it well suited to lightweight agentic workflows, simple data extraction, and routine automation at scale. It supports a wide multimodal input surface spanning text, images, video, audio, and PDF documents, while producing text outputs that fit standard downstream pipelines.

Practical deployment of Gemini 3.1 Flash Lite is shaped by a one-million-token context window and configurable thinking levels, giving developers a way to tune the depth of reasoning against latency and cost on a per-request basis. Google frames the model as a counterpart to its larger Gemini 3 siblings, offering a substantially cheaper path for the bulk of inference traffic while reserving heavier models for more demanding tasks. The result is a model aimed at teams that need reliable multimodal understanding across very large documents or long sessions without paying flagship-tier prices.

Eden AIvertex/gemini-3.1-flash-litegemini-flash-lite

Quick Info

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Provider
Eden AI
Model key
vertex/gemini-3.1-flash-lite
Release date
May 7, 2026
Last updated
May 7, 2026
Knowledge cutoff
2025-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.25
Output token cost
$1.50

Limits

Output tokens
65,536 tokens
Context window
1,048,576 tokens

Transparent token rates

Compare Gemini 3.1 Flash Lite (Vertex AI) pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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