Gemini 3.1 Flash Lite
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Gemini 3.1 Flash Lite

Low-cost Gemini for translation, extraction, and documents

Built for high-throughput, retry-friendly, cost-sensitive work: run translation backfills, labeling queues, and extraction on Flash Lite in LimaxAI, then escalate edge cases to stronger Gemini models.

  • ~1.05M context
  • 65K max output
  • Multimodal input
  • Tool Search
  • Ultra low cost
Low-cost Gemini for translation, extraction, and documents

Capabilities & limits

Core capabilities & limits

Key specs for production planning; exact toggles follow what LimaxAI exposes in chat.

1,050,000 input tokens

Up to ~1.05M input and 65,536 output tokens—long docs and threads with less manual chunking.

Multimodal input

Text, image, video, audio, and PDF in—text out—for extraction and summarization.

Thinking + structured output

Reasoning and schema-following outputs for reliable machine-readable results.

Functions + tools

Function calling, code execution, and search grounding (per integration) for light agent steps.

Cache + batch

Context caching and batch APIs for repetitive or large workloads (API scenarios; chat per product).

Ultra-low-cost lane

Flash Lite is the economical route in the Gemini family—throughput and price often beat raw quality.

Use cases

Best-fit scenarios

Aligned with public Gemini 3.1 Flash Lite positioning; images are illustrative.

Low-cost bulk processing

Low-cost bulk processing

Translation backfills, labeling queues, extraction, and first-pass classification as a cheap layer—escalate outliers upstream.

Multimodal at ~1M context

Multimodal at ~1M context

Send text, images, video, audio, or PDFs in one request for long docs and batch content.

Agents & Tool Search

Agents & Tool Search

Cheap agent substeps, retrieval cleanup, and structured preprocessing in multi-model pipelines (per chat tools).

Why LimaxAI

Why use it on LimaxAI

Same chat workspace as GPT, Claude, and other frontier models—no separate Gemini console.

Cheap lane in your stack

Route translation, extraction, and classification to Flash Lite; escalate hard cases to Gemini 3.1 Pro or others.

Unified credits

Bill against LimaxAI points rules for straightforward team comparisons.

Streaming chat UX

Same streaming pipeline as other chat models for long replies and iteration.

Gemini family

Gemini family (qualitative)

Flash Lite is the lowest-cost route; upgrade within the family for stronger multimodal or reasoning.

Public specs evolve; available entries follow LimaxAI’s model list.

Dimension3.1 Flash Lite3 Flash Preview3.1 Pro
PositioningLow cost · high throughputStronger multimodalFrontier reasoning
Context~1.05M inputVaries by releaseVaries by release
Max output65KVariesVaries
Typical tasksTranslate · extract · classifyGeneral FlashHard reasoning
Pick whenCost & throughput firstCapability bumpQuality first

Get started

Get started in three steps

Try Gemini 3.1 Flash Lite in LimaxAI chat.

  1. Sign in to LimaxAI

    Open Chat and pick Gemini 3.1 Flash Lite (or the closest titled entry).

  2. Send a test task

    Start with translation, extraction, or short classification prompts; watch latency and quality.

  3. Escalate outliers

    Switch hard cases to Gemini 3.1 Pro and monitor credits on the pricing page.

FAQ

FAQ

Is Flash Lite cheaper than higher Gemini Flash tiers?

Yes—public materials position Flash Lite as the economical Flash route for high-throughput work where price and throughput often matter more than peak quality.

How large is the context window?

Public docs cite up to ~1,050,000 input tokens and 65,536 output tokens. LimaxAI limits follow the model list and gateway rules.

Can it handle PDFs and video?

Public specs support text, image, video, audio, and PDF inputs with text output—subject to chat attachment capabilities.

Which model ID should I use?

API flows often use gemini-3.1-flash-lite-preview. In LimaxAI chat, pick the matching list entry—names may change with configuration.

When should I stay on Flash Lite vs upgrade?

Stay on Flash Lite for retry-friendly, cost-sensitive translation, extraction, classification, labeling, and document processing; upgrade when quality or difficulty demands it.

What is not supported?

Public materials list no image/audio generation, Live API, or Google Maps grounding—best for low-cost text output workflows.

How am I billed on LimaxAI?

Follow LimaxAI points rules for the selected chat model—see the pricing page and your usage history.

Try Gemini 3.1 Flash Lite in chat

Run a real task on Flash Lite

Open Chat, pick Flash Lite, and start with translation, extraction, or classification.