Compare AI models

Specifications
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.
1M200k
API pricingUSD per 1M tokens · lower wins
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
$0.25$150.00
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one.
$1.50$600.00
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again.
$0.025—
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page.
$0.125Google AI Studio$150.00OpenAI
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.75Google AI Studio$600.00OpenAI
$125Google list price$60,000OpenAI list price
These models have no shared benchmark scores.
Overview
CompanyGoogleOpenAI
Release dateMar 3 2026Mar 19 2025
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Gemini 3.1 Flash-Lite and o1-pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 3.1 Flash-Lite is cheaper on both input and output: $0.25 vs $150.00 per million input tokens, and $1.50 vs $600.00 per million output tokens. o1-pro shipped 349 days before Gemini 3.1 Flash-Lite, so benchmark comparisons should account for the intervening progress.

Context windows are 1M (Gemini 3.1 Flash-Lite) vs 200k (o1-pro).

Direct benchmark comparisons are unavailable — Gemini 3.1 Flash-Lite and o1-pro don't publish scores on any of the same benchmarks.