Xiaomi's MiMo-V2.6-Pro debuts as top open-weights model with ~$2.6m RL training bill
andersonbcdefg · x · 2026-09-22
Per Artificial Analysis, Xiaomi's open-weights MiMo-V2.6-Pro debuts as the top open model on its Intelligence Index (46), up sharply from MiMo-V2.5-Pro's 26. The MoE model has 1.02T total / 42B active parameters and keeps pricing at $0.435 per 1M input tokens (99% cache discount) and $0.87 per 1M output — $0.13 per task, landing on the intelligence-vs-cost Pareto frontier.
A widely shared add-on on post-training scaling laws: SoTA was reached with 45k RL tasks, nearly all synthetic, on $2.6m of Chinese compute ($1m US equivalent), suggesting human data is bottlenecks US frontier labs while neolabs prematurely scale compute.
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