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.
128k200k
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.
—$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.
—$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.
—$0.275
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.
—$1.10OpenAI
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$4.40OpenAI
—$440OpenAI list price
These models have no shared benchmark scores.
Overview
CompanyMoonshot AIOpenAI
Release dateJan 20 2025Apr 16 2025
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Kimi K1.5 and o4-mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o4-mini has a verified first-party API price: $1.10 per million input tokens and $4.40 per million output tokens. No pay-as-you-go API rate is tracked for Kimi K1.5. Kimi K1.5 shipped 86 days before o4-mini, so benchmark comparisons should account for the intervening progress.

Context windows are 128k (Kimi K1.5) vs 200k (o4-mini).

Direct benchmark comparisons are unavailable — Kimi K1.5 and o4-mini don't publish scores on any of the same benchmarks.