Google: Gemini 2.0 Flash Lite

Public pricingIntelligence 77/100Huge memoryVisiónRazonamiento profundoUso de herramientas

Google: Gemini 2.0 Flash Lite es un modelo audio pensado para comprensión visión-lenguaje. Combina el manejo multimodal de entradas y la comprensión de imágenes, un contexto de 1M+ tokens y un perfil bajo costo para trabajar con fiabilidad en audio understanding and multimodal input.

Input

$0.07/1M

Output

$0.30/1M

Cached

$0.02/1M

Batch

$0.04/1M

Calculate your Gemini 2.0 Flash Lite bill.

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What would Gemini 2.0 Flash Lite cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Gemini 2.0 Flash Lite at a glance.

Memory

1,048,576

tokens

Max reply

8,192

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

sentencepiece

Released

Feb 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu_pro

    71.6

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Gemini 2.0 Flash Lite

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Gemini 2.0 Flash Lite — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Gemini 2.0 Flash Lite costs roughly $18 per month. Input is $0.07 /1M tokens and output is $0.30 /1M tokens.
Gemini 2.0 Flash Lite has a 1,048,576-token context window (huge memory — multiple books or whole repositories). That means you can fit about 196,608 words of input and history in a single call.
Beyond text generation, Gemini 2.0 Flash Lite supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Gemini 2.0 Flash Lite was released in February 2025, with training data cut off around June 2024.
Models in a similar class include Gemini 2.0 Flash, Gemini 2.5 Flash Lite, Gemini 2.5 Flash Lite Preview 09-2025. The "Similar models" section below this FAQ links into each.

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