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Gemini 3.5 Flash-Lite

gemini-3.5-flash-lite
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A cost-efficient model, optimized for high-volume agentic tasks, translation, and simple data processing. Built by Google.

Prices updated

Input price

$0.30

per 1M tokens · Standard

Output price

$2.50

per 1M tokens · Standard

Input limit

1M

tokens

Output limit

66K

tokens

Input formats

TextImageVideoAudioPDF

Output formats

TextImageVideoAudioPDF
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Gemini 3.5 Flash-Lite price history

2 price records since 9/25/2026

Gemini 3.5 Flash-Lite cost calculator

Input20M tokens
Output5M tokens

$19/month

Standard pricing

    Overview

    What is Gemini 3.5 Flash-Lite?

    Gemini 3.5 Flash-Lite is a text & reasoning and vision model from Google. A cost-efficient model, optimized for high-volume agentic tasks, translation, and simple data processing. Its 1M context window and $0.30 input price make it a candidate for cost-sensitive, high-throughput applications.

    Image understandingDocument analysisContent workflowsClassification

    Benchmarks

    Gemini 3.5 Flash-Lite benchmarks & speed

    How Gemini 3.5 Flash-Lite scores on standardized evaluations, and where it lands among every model we track.

    22.2

    Intelligence Index

    Better than 55% of 153 models

    334tok/s

    Output speed

    Better than 100% of 119 models

    Reasoning

    GPQA Diamond

    83.8%

    Graduate-level scientific reasoning · top 48%

    HLE

    18.8%

    Humanity's Last Exam · top 54%

    Coding

    SciCode

    41.3%

    Python for scientific computing · top 76%

    Latency & design

    Time to first token
    9.65s

    Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.

    Rates

    Gemini 3.5 Flash-Lite pricing

    Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.

    Input · Standard

    $0.30

    Per 1M tokens

    Cached input · Standard

    $0.03

    Per 1M tokens

    Capabilities

    Gemini 3.5 Flash-Lite Tools

    Tools available when using Gemini 3.5 Flash-Lite through supported provider APIs.

    Function calling

    Supported

    Structured outputs

    Supported

    JSON mode

    Supported

    Reasoning

    Supported

    Built-in web search

    Not supported

    Log probabilities

    Not supported

    Deterministic seed

    Supported

    Parallel tool calls

    Not supported

    Prompt caching

    Supported

    Strengths and limitations

    Strengths

    • Low input cost at $0.30 per million tokens suits high-volume workloads.
    • 1M context supports large documents, repositories and extended conversations.
    • Supports text & reasoning and vision workloads in one model.

    Limitations

    • Generated tokens cost 8× more than input tokens, which matters for verbose responses.
    • Large context capacity does not guarantee consistent retrieval across the entire prompt.
    • Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.

    Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.

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    Frequently asked questions about Gemini 3.5 Flash-Lite

    Gemini 3.5 Flash-Lite is a text & reasoning and vision model from Google. A cost-efficient model, optimized for high-volume agentic tasks, translation, and simple data processing.