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.
1M2M
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—
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—
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—
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—
$125Google list price—
These models have no shared benchmark scores.
Overview
CompanyGoogleSpaceXSI
Release dateMar 3 2026Sep 19 2025
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Gemini 3.1 Flash-Lite and Grok 4 Fast don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Gemini 3.1 Flash-Lite has a verified first-party API price: $0.25 per million input tokens and $1.50 per million output tokens. No pay-as-you-go API rate is tracked for Grok 4 Fast. Grok 4 Fast shipped 165 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 2M (Grok 4 Fast).

Direct benchmark comparisons are unavailable — Gemini 3.1 Flash-Lite and Grok 4 Fast don't publish scores on any of the same benchmarks.