Everyday Ecosystem — The Big Three AI Assistants

OpenAI's unified frontier beast for pro workflows, blending reasoning, coding, and agents into one model that thinks ahead and executes like a digital colleague.

GDPval 83.0% across 44 occupations (beats GPT-5.2's 70.9%); OSWorld 75.0% computer use (humans: 72.4%); GPQA Diamond 92.8%; 1M context with 47% token savings; 33% fewer hallucinations.

API pricing jumps to $2.50/M input / $15/M output; long-context accuracy dips at 512K–1M tokens; gradual rollout — GPT-5.2 retires June 2026.

Think of it as a profoundly educated research partner who actually takes a minute to think before answering. It trades instant speed for deep, methodical analysis. When your problem requires real, deliberate logic — not just a quick guess — this is Google's flagship brain upgrade.

Verified 77.1 on ARC‑AGI‑2. Generates text, videos (Veo), images (Nano Banana), and music (Lyria 3) natively. Deep Google ecosystem integration across mobile and web.

In public preview with a Jan 2025 knowledge cutoff — brilliant at reasoning but can be stale on late‑2025/2026 facts unless connected to search.

The AI that actually reads. While others skim, Opus 4.6 synthesizes entire libraries of documents, writes prose that doesn't sound like a machine, and holds a million tokens of context in its head. It's the quiet professional that experts settle on after trying everything else.

Arena AI #1 across all models. 1M-token context window (beta) processes roughly 750,000 words in one conversation. Agent Teams coordinate multiple AI workers on complex projects. The best writing quality in the industry.

The most expensive of the big three — $20/month Pro gets you in the door, but power users pay $100–$200/month for Max. API costs are steep. No native image generation.