Compare AI models

Specifications
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one.
—1T
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view.
—128k
API pricingUSD per 1M tokens · lower wins
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.
—$0.57Novita
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$2.30Novita
—$229Novita · fp8
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.
15%10%
Overview
CompanyGoogleMoonshot AI
Release dateJan 30 2025Jul 11 2025
AccessClosedOpen Weight
Model detailsView modelView model

Frequently asked questions

Gemini 2.0 Flash leads Kimi K2 on 1 of the 1 benchmark they both report (BullshitBench v2). Gemini 2.0 Flash shipped 162 days before Kimi K2, so benchmark comparisons should account for the intervening progress.

Gemini 2.0 Flash is closed, while Kimi K2 is open weight.

On BullshitBench v2, Gemini 2.0 Flash leads at 15% vs Kimi K2 at 10%.