❯ Xiaomi’s MiMo-V2.6-Pro tops the open-weight leaderboard, tied with Grok 4.7

where it ranksXiaomi released MiMo-V2.6-Pro, which scores 46 on the Artificial Analysis Intelligence Index, making it the highest-scoring open-weight model and tying xAI’s newly released closed model Grok 4.7. Close behind are GLM-5.3 at 45 and Kimi K3 at 44. A cheaper V2.6-Flash was released alongside it.

the training billPer technical outlets including Latent Space, it is a mixture-of-experts model with roughly 1 trillion total parameters and about 42 billion active, trained for around $3 million. The team also published data and experimental results from its reinforcement learning stage; researcher nrehiew_ notes this differs from DeepSeek V4.1 Flash’s paper by focusing on data and RL experiments, listing a string of infrastructure details such as masking infrastructure failures like unavailable tools out of trajectories.

first place turns over fastAt 46, 45 and 44, the top three sit within two points, and a week ago the open-weight lead was GLM-5.3’s. Teams deploying open-weight models face a leaderboard whose turnover is measured in weeks, raising the risk of betting on any single model. More important is the $3 million training cost: a phone maker matching a closed frontier model at that spend means the barrier to entry for the open-weight camp is far lower than assumed.

▪ SIGNAL$3 million for an open model tied with Grok 4.7 — a phone maker is repricing the entry fee to frontier capability.