What would you build or benchmark with 5M free tokens on a reasoning model?

To encourage real experimentation, we’re offering 5 million free tokens on first API usage so devs and teams can test Alpie Core over Christmas and the New Year.

Alpie Core is a 32B reasoning model trained and served at 4-bit precision, offering 65K context, OpenAI-compatible APIs, and high-throughput, low-latency inference.

If you were evaluating or using a model like this:
– What would you benchmark first?
– What workloads matter most to you?
– What comparisons would you want to see?

We are actively collecting feedback to shape v2 and are happy to share more details.