Congrats to the fal team on MiniMax H3 Max - fantastic work!

A quick note on what’s actually happening under the hood: post-training doesn't magically create new capability; it elicits what's already there. The fact that MiniMax H3 Max tops these leaderboards after a post-training pass is the hallmark of a strong base model. The underlying quality, prompt understanding, and aesthetic ceiling were already embedded in the weights, and releasing that ceiling is precisely why we open-sourced H3.

What makes this exciting is that the ecosystem makes this performance reproducible for anyone:

👩🍳Training Pipeline:

SGLang’s miles pipeline provides a complete RL + LoRA SFT trainer alongside a step-by-step guide - from data pipeline and recipe straight through to export - loading directly into sgl-diffusion for serving.

⚡️Inference Speed:

Sol-Attention and Sol Engine deliver a 3.95× end-to-end speedup. Combined with few-step distillation, latency drops even further.

Third-party post-trains like MiniMax H3 Max showcase what happens when a base model’s true potential is unlocked. This is exactly why we build with open weights-keep them coming!