Project
Deploy-time scaffold used in Agent Lightning's coding runs, executing tasks inside Kubernetes.
Xiaomi's public dashboard put the MiMo 2.6 Pro reinforcement-learning run at $1.05 million after about 51 hours, roughly $20,500 an hour. Its restart notes and token count give other teams an all-in reference for pricing their own RL runs.
Reality
Google's Gemini 3.8 Flash ties Claude Opus 5 at 74% on DeepSWE for $2.36 a task, at an introductory price that doubles on January 1, 2027. For agent workloads, the comparison that holds up after January is cost per finished task, set by steps taken as much as by rate.
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NVIDIA's SWE-Serve scores the same 627 patches twice on 19 SGLang tasks, once with the live-serving tests and once without. The pass rate falls from 69.4% to 45.9%, and 242 of the 276 live tests came from SGLang itself.
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The MIT-licensed 320B model card claims it beats GLM-5.2 at a tenth of the price and approaches Claude Opus 4.8 on coding, but it names no dollar rate, and the comparisons are largely the vendor's own.
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One model was verified at 30.16 in the official harness and reported at 100.00 in NVIDIA's. Microsoft's Agent Lightning now trains the harness into the weights.
Reality