I've been using Poe's Mixtral bot for a few weeks now, mostly for brainstorming marketing copy and analyzing campaign data. The speed is fantastic, and the outputs feel sharper than some other open models. But it got me thinking—how much of that is Poe's own tuning versus the raw Mixtral 8x7B model?
I know you can access Mixtral directly through other providers (like Hugging Face, Replicate, or even some cloud consoles). Has anyone done a proper side-by-side comparison?
I'm particularly curious about:
* **Reasoning depth** - On complex logic, like mapping out a multi-step lead scoring workflow, does Poe's version handle edge cases better?
* **Output formatting** - Does the base model follow instructions (like "give me a table") as consistently?
* **"Poe-ness"** - We all know platforms add their own secret sauce. Any noticeable differences in tone or style?
I started a basic comparison spreadsheet for my own use, tracking response quality on the same 10 prompts. The early data is... messy. Would love to compare notes or see if someone has already run a more rigorous benchmark. Sharing a public sheet here would be awesome.