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.
1M400k
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.
$0.40$15.00
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.
$1.60$120.00
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.
$0.10—
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.
$0.40Azure$15.00OpenAI
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$1.60Azure$120.00OpenAI
$160OpenAI list price$9,000OpenAI list price
These models have no shared benchmark scores.
Overview
CompanyOpenAIOpenAI
Release dateApr 14 2025Aug 7 2025
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

GPT-4.1 mini and GPT-5 Pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-4.1 mini is cheaper on both input and output: $0.40 vs $15.00 per million input tokens, and $1.60 vs $120.00 per million output tokens. GPT-4.1 mini shipped 115 days before GPT-5 Pro, so benchmark comparisons should account for the intervening progress.

Context windows are 1M (GPT-4.1 mini) vs 400k (GPT-5 Pro).

Direct benchmark comparisons are unavailable — GPT-4.1 mini and GPT-5 Pro don't publish scores on any of the same benchmarks.