ModelTotal ParamsActive ParamsArchitectureGPT-OSS-120B117B5.1BMoEQwen3-Coder-Next80B3BMoEGLM-4.7-Flash30B~3BMoEQwen3-30B-A3B30B3BMoEGPT-OSS-20B21B3.6BMoEQwen3-8B8B8BDenseThat “120B” flagship model only activates about 5.1B parameters per token. Which means the device is not doing 120B dense-model work per step. It is doing something much closer to a small dense model while keeping a large MoE weight set resident in memory.
severity INTEGER,
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The practical effect: on high-latency backends, push search schedules harder and keep lookup schedules with more leading zeros. On S3 Express, the defaults work well and tuning provides smaller gains. Full scan performance is schedule-insensitive on both backends because query-plan frontrunning bulk-prefetches the entire table upfront.