CLM-8B claims 9x faster agent decisions

CLM-8B, a Stanford/NVIDIA project, is an Apache-2.0 System One model for scoring candidate actions, and its authors report up to 9× lower latency than Jev across computer-use, gaming, and tool-calling tests. The open CLM repository reports 81.6% on 38 held-out DeepSWE tasks and 87.6% on 30 held-out Terminal-Bench 2.1 tasks after lightweight fine-tuning; the model card warns that those verifier results do not describe zero-shot performance. Teams with fixed tool menus can file this as a cheap action-ranking experiment, not a model replacement: our Strands harness cost analysis shows why agent-runtime claims need reproduction on your own tasks.