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It's a really good model from my testing so far. You can see the difference in how it tries to use tools to the greatest extent when answering a question, especially compared to 4.1 and o3. In this example it used 6! tool calls in the first response to try and collect as much info as possible.

https://promptslice.com/share/b-2ap_rfjeJgIQsG



720 tool calls? Amazing!


Where'd you get 720 from?


Math pun… 6! = Factorial(6) = 720


Whoosh, it went right over my head.


the _6!_


Is there any value in using XML elements to guide the model instead of simple text (e.g., "Recommendation criteria:")?


XML tags generally help models understand prompts better. That's how most official system prompts are written and what the Anthropic prompting guide says.


That movie doesn't even exist. There is no Thunder Run from 2025.


The data is made up, the point is to see how models respond to the same input / scenario. You're able to create whatever tools you want and import real data or it'll generate fake tool responses for you based on the prompt and tool definition.

Disclaimer: I made PromptSlice for creating and comparing prompts, tools, and models.




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