Compare AI models

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$1.10
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$4.40
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$0.275
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$1.10OpenAI
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.75Google$4.40OpenAI
$125Google list price$440OpenAI list price
Benchmarks
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better.
11%8%
Overview
CompanyGoogleOpenAI
Release dateMar 3 2026Apr 16 2025
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Gemini 3.1 Flash-Lite leads o4-mini on 1 of the 1 benchmark they both report (BullshitBench v2). Gemini 3.1 Flash-Lite is cheaper on both input and output: $0.25 vs $1.10 per million input tokens, and $1.50 vs $4.40 per million output tokens. o4-mini shipped 321 days before Gemini 3.1 Flash-Lite, so benchmark comparisons should account for the intervening progress.

Published specifications for these two models are limited — see each model page for the latest details.

On BullshitBench v2, Gemini 3.1 Flash-Lite leads at 11% vs o4-mini at 8%.