News reaction: Z.ai’s GPU crunch and the MiniMax M2.5 sleeper hit

Z.ai openly admitting they are "GPU starved" is the most honest thing I've heard from an AI lab in months. It really puts the current "compute wars" into perspective. While the giants are throwing billions at clusters, the mid-tier labs are clearly struggling to keep their inference speeds up and their models updated.

In the middle of this crunch, MiniMax M2.5 just dropped. I’ve been putting it through its paces on OpenRouter, and it’s a total sleeper hit for creative reasoning. It’s significantly more "human" in its prose than Gemini 2.5 Pro ($1.25/M), and it doesn't have that weirdly sterile tone that usually plagues the Gemma 3 27B ($0.04/M) outputs.

I also tried ERNIE 4.5 VL 424B ($0.42/M) for some multimodal work. Despite the massive parameter count, the latency is actually manageable, but I’m not sure the "reasoning" jump is there yet compared to the current open-weight leaders.

The Z.ai news makes me think we’re about to see a massive consolidation. If you can't secure the H100s or H200s, you're basically stuck building "efficient" models by necessity, not by choice.

Are you guys noticing a performance dip in models from the smaller labs lately, or is the optimization actually keeping them competitive?