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.
200k—
API pricingUSD per 1M tokens · lower wins · base tier
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it.
$1.10$1.25
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.
$4.40$2.50
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.
$0.275$0.20
$440OpenAI list price$375SpaceXSI 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.
8%56%
Overview
CompanyOpenAISpaceXSI
Release dateApr 16 2025Feb 17 2026
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

Grok 4.20 Beta leads o4-mini on 1 of the 1 benchmark they both report (BullshitBench v2). o4-mini is cheaper on input: $1.10 vs $1.25 per million tokens. Grok 4.20 Beta is cheaper on output: $2.50 vs $4.40 per million tokens. Figures are base-tier rates. o4-mini shipped 307 days before Grok 4.20 Beta, 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, Grok 4.20 Beta leads at 56% vs o4-mini at 8%.