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
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%45%
Overview
CompanyGoogleOpenAI
Release dateDec 11 2024Dec 18 2025
AccessClosedClosed
Model detailsView modelView model

Frequently asked questions

GPT-5.2-Codex leads Gemini 2.0 Flash on 1 of the 1 benchmark they both report (BullshitBench v2). Gemini 2.0 Flash shipped 372 days before GPT-5.2-Codex, so benchmark comparisons should account for the intervening progress.

Context windows are 1M (Gemini 2.0 Flash) vs 400k (GPT-5.2-Codex).

On BullshitBench v2, GPT-5.2-Codex leads at 45% vs Gemini 2.0 Flash at 15%.