MiMo-V2.6-Pro is a flagship sparse Mixture-of-Experts (MoE) model built for omnimodal intelligence and autonomous agentic workflows. It has 1.02 trillion total parameters, with 42 billion activated during inference, and is natively built to process text, image, video, and audio within a single, unified architecture. With a 1,048,576-token (1M) context window and optimization via large-scale mixed […]

API Review Summary (October 2026) Attribute Value Developer Xiaomi Release Date September 21, 2026 Model Type Reasoning model (open weights) Artificial Analysis Intelligence Index 30 — ranks #3 of 21 models in AA’s “Large” (>150B parameter) class, where the class median is 23 Speed 53.4 output tokens/sec (class median: 73.9 t/s) Latency (TTFT) 3.16s (class […]

MiMo-V2.6-Pro is the kind of model that gets a pricing guide worth reading: it combines open weights, a 1M-token context window, and pricing that undercuts the typical large open-weight reasoning model. At listed rates of $0.435 per million input tokens and $0.87 per million output tokens, it comes in below the median pricing Artificial Analysis […]

From 19.0 to 71.9 on DeepSWE — that’s the jump Xiaomi reports between MiMo-V2.5-Pro and MiMo-V2.6-Pro, its new flagship, on real-world software engineering tasks. That puts it, on Xiaomi’s own published figures, alongside Claude Opus 5 (74.0) and GPT-5.6 Sol (73.0) on a benchmark designed to test repository-level coding rather than toy problems. Built by […]

Qwen3.8-Flash-Next was released on August 26, 2026. The same day, SGLang announced day-0 support, built with the Qwen, NVIDIA and AMD teams, and shipped a dedicated container image. vLLM served the model from its own dedicated image while the architecture-support work was still being merged. llama.cpp, the engine most people use to run models on […]