There is no single best open model
The current landscape is more interesting than a general ranking. MiMo V2.6 Pro has a slight edge over GLM-5.3 in overall capability (46 vs. 45) and stands out in reasoning, science, and long-context tasks. GLM performs better on AutomationBench and Terminal-Bench. Kimi K3 scores slightly lower in aggregate capability but is the best of the three at long-context reasoning and document-related tasks.
The same applies to the Flash tier. GLM-5.3 Flash has greater overall capability than DeepSeek V4.1 Flash, but DeepSeek scores 69% versus 60% on AutomationBench and generates more than three times as many tokens per second. As soon as the workload changes, so does the model that makes the most sense. That’s why the rest of the guide is organized by workload.
See the full post by Helmcode here.
