Totally agree with this. Have finally found some time for testing MiMo V2.6 for the last few days and I am really impressed. But the speed....I don't know... Its very slow on OpenCode Go plan in Europe. I am getting 30 t/s on average. At least OC v2 reports this

As a MiMo V2.5 enjoyer I'm very excited for MiMo V2.6 I consider MiMo as that balanced, smooth as silk model because it plays nicely with most of my workflow: From system prompt, skills, up to the way I prompt and converse with my agents MiMo is just one of those models that does not fight with my setup, a cheaper model that converses with the simplicity of Claude and the structure of ChatGPT GLM and DeepSeek are great, but GLM is too verbose and technical to my liking, which is essential don't get me wrong, but not great when you just want direct to the point responses and a path towards clarity, not more complexity. On the other hand, DeepSeek loves adding "one more thing" like Steve Jobs and still misses stuff despite doing that, due to its notoriety of scoring so high in AA-Omniscience Hallucination Rate. Don't get me wrong, that makes DeepSeek a creative model, at least from my own experience conversing with it. However, MiMo is known for having low hallucination rates just like Gemini 3.8, Kimi K3, and GLM 5.3, and these are even lower than Claude models which frequently sits at 60% range. But what makes me most excited is MiMo V2.6's price and speed I/O token price comparisons show: ~1.5x/2.4x cheaper than GLM 5.3 discounted prices ~3.4x/8.6x cheaper than Kimi K3 Artificial Analysis charts show 2x speed I am recently impressed with DeepSeek APIs speed. If Xiaomi MiMo keeps up with being half as fast, it's a no brainer that I will use it more. Faster inference just keeps me in the flow state longer, and once you experience that, it's harder to tolerate slower models.