Xiaomi

Xiaomi says its humanoid robot worked an eight-hour shift at its car factory, covering the full daily production demand of the center console side-cover sorting station. The company also started a home-service trial of its Xiaomi-Robotics-1 embodied foundation model at a Xiaomi Youth Apartment.

A Leiphone survey, reported by Pandaily, finds Chinese model developers pursuing recursive self-improvement by pointing AI at training pipelines, inference systems, GPU kernels, sandboxes and agent harnesses. No lab is letting AI rewrite model weights. Zhipu, DeepSeek, ModelBest, Moonshot AI, Alibaba, ByteDance and Xiaomi each disclosed a different piece of the approach.

Xiaomi has released the weights and inference code for Xiaomi-OCR-0, a 0.8B-parameter model that handles document parsing, key information extraction and OCR visual question answering. Xiaomi reports 96.83 on OmniDocBench v1.6, first among models under 1B parameters and second overall.

Xiaomi discontinued MiMo-V2.5-Pro and MiMo-V2.5 at 10 a.m. Beijing time on October 21. Their API services now run on the MiMo-V2.6 family, and requests to the old model names have been routed to MiMo-V2.6-Pro and MiMo-V2.6-Flash since October 14.

Xiaomi's SeerRay-Lab has open-sourced Xiaomi-Lens-0, a 4B multimodal model built on Qwen3.5-4B. The model emits mask tokens for pixel-level image regions in the middle of an answer. The lab also released a benchmark called LensBench.

Xiaomi's new MiMo-V2.6-Pro, a 1.02 trillion parameter mixture-of-experts model, now leads open-model rankings with a 46 on Artificial Analysis's Intelligence Index while costing roughly $0.13 per task. Anthropic simultaneously accuses Xiaomi of funneling user conversations through Claude to train the model, part of a broader pattern the company calls illegal distillation.

Xiaomi released MiMo-V2.6-Pro, a 1.02T-parameter mixture-of-experts model with 42B active parameters, which debuted as the top-scoring open-weights model on Artificial Analysis' Intelligence Index (46). The company claims the model's RL training run cost roughly $2.6M and completed in 130 hours.

Xiaomi's MiMo team has released MiMo-V2.6-Pro-RL, a 1.02-trillion-parameter sparse mixture-of-experts model with 42B active parameters, 1M-token context, and native text/image/video/audio processing. The model was trained via a single mixed reinforcement learning run spanning coding, agentic, visual, and cybersecurity tasks, with benchmark scores that Xiaomi claims approach or match Claude Opus 5 and GPT-5.6 on several agentic and coding tests.

Xiaomi's MiMo team released MiMo-V2.6-Flash-RL, an efficiency-tier checkpoint in the MiMo-V2.6 series featuring a 309B-parameter (15B active) Mixture-of-Experts architecture, 1M-token context, and native support for text, image, video, and audio. The model uses a single mixed reinforcement learning run across coding, agentic, visual, and cybersecurity tasks rather than domain-specific training.

Xiaomi has added three new entries to its MiMo model family on OpenRouter: MiMo-V2.6-Pro, MiMo-V2.6-Flash, and MiMo-V2.6-Pro-UltraSpeed. Full specifications, pricing, and benchmark results have not yet been disclosed.

Xiaomi's MiMo-V2.6-Pro-UltraSpeed is a fast-inference edition of the company's 1T-parameter flagship MiMo-V2.6-Pro, delivering roughly 10x the output speed at matching quality. It retains the 1M-token context window and native multimodal capabilities, priced at $4.35/$8.70 per 1M input/output tokens.

Xiaomi has released MiMo-V2.6-Flash, an open-source Mixture-of-Experts model with 309B total parameters and 15B activated per token, featuring a 1M-token context window and native multimodal capabilities. Priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, it targets agentic coding and long-horizon task workflows.

Xiaomi has released MiMo-V2.6-Pro, a flagship foundation model exceeding 1 trillion parameters with a 1M-token context window and native multimodal support. The model is priced at $0.435 per 1M input tokens and $0.87 per 1M output tokens, targeting agentic and long-horizon tasks.

Chinese AI models from Tencent, Xiaomi, DeepSeek, MiniMax and Z.ai now occupy the top five positions by weekly token usage on OpenRouter, a major AI marketplace. The shift threatens to commoditize premium models from OpenAI and Anthropic as businesses reserve expensive frontier systems for only their hardest problems.

Xiaomi has released MiMo-V2.5-Pro, an open-source Mixture-of-Experts model with 1.02 trillion total parameters and 42 billion active parameters. The model supports up to 1 million tokens context length and claims 99.6% on GSM8K and 86.2% on MATH benchmarks.

Xiaomi released MiMo-V2.5-Pro on April 22, 2026, its flagship model featuring a 1,048,576 token context window and pricing at $1 per million input tokens and $3 per million output tokens. According to Xiaomi, the model ranks highly on ClawEval, GDPVal, and SWE-bench Pro benchmarks, designed for autonomous completion of professional tasks requiring thousands of tool calls.