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Welcome, humans.
GPT-6 Sol, Luna & Opus 5.5 go head-to-head LIVE
Anthropic just dropped Claude Opus 5.5. About 90 minutes later, OpenAI answered with GPT-6 Sol and Luna.
So naturally, we’re putting them head to head in the same arena.
The launch charts are full of claims about coding, reasoning, factuality, computer use, speed, and price. We want to see what survives contact with the same real prompts.
What we’re testing
The same prompts across GPT-6 Sol, GPT-6 Luna, and Claude Opus 5.5 (including the Cat Doom benchmark).
Coding, reasoning, writing, and agent-style work.
Where the speed and price differences actually show up.
Which model handles ambiguity, corrections, and long tasks better.
Where the launch-day benchmark claims survive contact with real work.
OpenAI cut Sol to $2 / $10 per million input / output tokens and Luna to $0.10 / $0.50. So this is not only a capability fight. It is a price-performance fight too.
The goal: figure out which model you should actually reach for, not which launch chart has the tallest bar.
The start time: 1 PM PT / 3 PM CT / 4 PM ET. We start in five minutes.
And yes, if you’re joining late, there will be a recording; just use the same link to go watch!
📚 Read the launch notes
OpenAI’s GPT-6 Sol + Luna announcement covers the new pricing, benchmark results, caching changes, availability, and alignment work.
Anthropic’s Claude Opus 5.5 announcement covers performance, coding and knowledge-work results, pricing, speed, safety, and availability.
🎥 Missed yesterday’s OpenClaw 2.0 livestream?
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Vincent Koc, Chief Architect of OpenClaw, joined us to demo the new release and explain where personal agents are going next, from local machines and cloud workers to memory, loops, permissions, widgets, and multi-agent experiments. Read our recap here.
🎥 And then we stress-tested GPT-6 Astra
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Corey and Grant gave Astra six ridiculous one-shot build tests with almost no follow-up steering. It built a black hole simulator, a Blender scene, a physics game, a sci-fi world, a sound diagnostic prototype, and Cat Doom.
The useful part is seeing where frontier coding agents are already shockingly capable, and where taste, restraint, and human judgment still matter.
Stay curious,
The Neuron Team
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