Frontier Model Face Off: OpenAI and Anthropic Go Head to Head   

💻On Demand 

Same workflow. Different models. Let’s see what actually gets done.

Watch GPT 6 (Astra) and Claude Opus 5.5 tackle the same task in ATP360: generate a report in a custom application, then send it by email. Live.

We’ll track runtime, recorded cost, tokens and GUI actions—and inspect how each model checks its work.

Misty is backing Anthropic. Bruce is backing OpenAI. IT gets the receipts.

An agent says “done.” Great. Prove it.

Did it generate the right report? Did the email actually go out? How many retries did it need, and what did they cost?

We’re putting those questions on screen. The task sounds straightforward. How each model gets there—and how much babysitting it needs—is where things get interesting.

If you’re evaluating AI for app validation, desktop automation or repetitive IT tasks, come see what to measure before trusting a model with your own workflows.

What we’ll put under the microscope

• Speed vs. spend: Is finishing sooner worth the extra cost?
• Proof it worked: Did the task actually get completed, and did the model verify the result?
• Wrong turns and recovery: How does each model navigate the GUI, interpret what’s on screen and handle mistakes?
• Tokens vs. clicks: Why fewer actions don’t necessarily mean fewer tokens—or a smaller bill.
• The right model for the job: How to weigh the results against your workflow, time constraints and budget.

Pick a side. Bring your skepticism.