Gemini 3.1 Flash-Lite
Pricing & Specs

Google (Gemini) · $0.25 input / $1.5 output per 1M tokens · 1.04858M context window

$0.25
per 1M input tokens
$1.5
per 1M output tokens
1.04858M
context window (tokens)

The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Gemini 3.1 Flash-Lite costs about $0.0010 — roughly $1.00 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.

Gemini 3.1 Flash-Lite API Pricing

TokensPrice
Input$0.25 / 1M tokens
Output$1.5 / 1M tokens
Cached input$0.01 / 1M tokens

Context caching tiers: $0.025; Context caching storage: $1.00 / 1,000,000 tokens per hour

What that means in practice

1x One typical task (1K input + 500 output tokens): $0.0010
1K 1,000 runs of that task: $1.00
💡 Real cost depends on how verbose the model is on YOUR prompts — benchmark to measure actual tokens, not estimates.

Gemini 3.1 Flash-Lite Specs

SpecValue
Context window1.04858M tokens
Max output tokens65.536K tokens
Input modalitiestext, image, audio, video, PDF
Output modalitiestext
Knowledge cutoffJanuary 2025
Reasoning modelNo
Tool / function callingYes
JSON modeYes
StreamingYes
Prompt cachingYes
Batch APIYes

FAQ

How much does Gemini 3.1 Flash-Lite cost?

Gemini 3.1 Flash-Lite costs $0.25 per 1M input tokens and $1.5 per 1M output tokens ($0.01 per 1M cached input tokens).

What is Gemini 3.1 Flash-Lite's context window?

Gemini 3.1 Flash-Lite has a 1.04858M-token context window. Maximum output is 65.536K tokens.

Can I test Gemini 3.1 Flash-Lite on my own task?

Yes. OpenMark lets you benchmark Gemini 3.1 Flash-Lite against 100+ models on your own task with real API calls — no API keys needed, free tier available.

Is Gemini 3.1 Flash-Lite the right model for YOUR task?

Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload — real API calls, real costs. Free tier available.

Benchmark Gemini 3.1 Flash-Lite — Free →