China AI

AIXiaomi MiMo has launched MiMo-V2.6 Pro and Flash, two omnimodal models with open model weights, a technical report, RL environments, and training code.

Why it matters: The source pairs open-weight release details with a benchmark table against Claude Opus 5 and GPT-5.6 Sol, letting readers compare Pro and Flash across agent tasks.

AIXiaomi MiMo released MiMo-V2.6-Distill-Qwen-9B, a 9B agentic model made by supervised fine-tuning Qwen3.5-9B on MiMo-generated data, as an open starting point for agentic reinforcement learning research.

AIXiaomi's MiMo team released MiMo Gallery, a showcase where every 3D model, game, slide deck, video, music piece, and image was generated by MiMo-V2.6.

AIXiaomi released MiMo-V2.6-Flash-RL, an efficiency-balanced checkpoint in its MiMo-V2.6 series, on Hugging Face.

Why it matters: The report pairs its benchmark tables with the RL training method, which helps readers judge how the checkpoint's scores relate to its training approach.

AIXiaomi MiMo released MiMo-V2.6-Pro-RL on Hugging Face, a sparse MoE model with 1.02T total and 42B activated parameters and a 1M-token context.

Why it matters: The report pairs a 1.02T-parameter MoE model with an RL-based self-improvement method, useful for judging how reinforcement learning is scaled in frontier open models.

AINathan Lambert argues that Chinese open-weight models now lead American ones on benchmarks, Hugging Face downloads, and OpenRouter usage.

AIAridge has signed a cooperation agreement with Ras Al Khaimah to set up a regulatory sandbox for advanced air mobility in the UAE, overseen by the UAE General Civil Aviation Authority.

AIA research-agent design has GPT-6 orchestrating while MiniCPM5-2B runs locally on DGX Spark to read sources and extract traceable evidence.

AIA community developer integrated the Jev method into MiniMax H3 to sparsify attention, deciding per layer which parts to keep.

AIQwen introduced RecreationBench, a benchmark of 250 application-recreation tasks across Ubuntu, macOS, Windows, Android, and Web.

AIModelScope now supports both inference and LoRA training for Qwen-Image-2.1 on its Civision platform. The post directs users to to start creating.

AIWorkBuddy has added GLM-5.3-Flash to its model lineup and made it available now on the platform. The post invites users to try the model on their next task, but gives no further details on capabilities, speed, pricing, or benchmarks.

AISGLang-Diffusion now serves Qwen-Image-2.1 for text-to-image generation, multi-image editing, and transparent RGBA output.

AIQwen-Image-2.1 is now available as a live Hugging Face Spaces demo, letting users try image generation and editing in the browser without setup.

AIA Wan 3.0 feature can change a video's camera angle while keeping the exact same action from the original clip, according to a shared example. The main post only thanks the author for sharing a prompt, so no further details are confirmed.

AIFireworks AI reports that an oracle router choosing among 18 models per DeepSWE task reaches 97.6% at $1.88 per task, versus 74.1% at $6.52 for GPT-6 Astra alone.

AIvLLM achieved 5000 total token throughput per GPU in high-throughput PD serving of Qwen3.8-2.4T on a GB300 NVL72 cluster under an 8K/1K workload.

AIQwen-Image-2.1 is now supported in ComfyUI, and Qwen invites users to try it and share their creations.

AIQwen-Image-2.1 from Alibaba's Qwen has day-0 support in vLLM-Omni, enabling one model to generate, edit, and create transparent images.

AIQwen-Image-2.1 delivers better visual quality than its predecessor, particularly in the aesthetics of text rendering and portraits. The post shares several text-rendering examples to illustrate the improvement.

AIQwen-Image-2.1 is presented as handling a variety of editing tasks while balancing performance across them. As one example, given a three-view character reference, the model generates a complete storyboard.

AIQwen-Image-2.1 supports several ways to specify local edits, including circles marking regions on an image.

AIAlibaba's Qwen released Qwen-Image-2.1, which accepts up to 10 reference images. The post says it can produce high-quality results but gives no further details.

AIQwen-Image-2.1 now generates transparent images natively, without post-processing. It also supports editing transparent images directly.

AIAlibaba's Qwen team released Qwen-Image-2.1 as an open-weights image model for both generation and editing, with a lightweight 7B architecture.

AIModelScope has added inference and training support for Qwen-Image-2.1 on its Civision platform. The feature is currently available on the CN site, with international support promised as coming soon.

AIAlibaba's ModelScope introduces Qwen-Image-2.1, a model that handles image generation and editing together, with native transparency and a compact 7B visual generation component.

Why it matters: The post names concrete capabilities and a 7B size, letting readers compare it against the larger image models in the accompanying chart.

AIA developer's Augury plant identification model, built on an OpenBMB model, raised photo top-1 accuracy from 71.8% to 80.2% by merging duplicate species keys and adding PCA whitening.

AIQwen has open-sourced Qwen-Image-2.1, a unified text-to-image generation and image editing model with 7B visual generation parameters.

Why it matters: The model card documents usage with transformers and diffusers, letting readers see how the editing prompt rewriter connects to the generation pipeline.

AIQwen has open-sourced Qwen-Image-2.1, a unified text-to-image generation and image editing model with a 7B-parameter visual generation component.

Why it matters: The release pairs a 7B visual generation component with a separate prompt rewriting model, showing how a brief image request becomes a detailed English prompt before rendering.

AIWan 3.0 lets users place their own photo into any scene and animate it using the Peel-Off Sticker skill on wan.video. The post presents this as a single-photo workflow but gives no further technical details.

AIStepFun invites developers to try the Step 5 Preview through its online platform.

AIStepFun says it is focusing Step 5 Preview on finance, judging it on verifying reliable information, reconciling conflicting reports, stating assumptions, and producing consistent, reproducible valuations.

AIStepFun has previewed Step 5, an agent built for professional knowledge work spanning large-scale research, structured analysis, and interactive reporting.

AIStepFun says its Step 5 Preview works across software environments and tracks prior results to decide its next attempts.

AIStepFun has released Step 5 Preview, a flagship model for agentic work that it says delivers frontier-level performance in software engineering and professional knowledge work, with particular strength in finance.

Why it matters: The post pairs a cost-versus-intelligence chart with specs and a later open-weights date, so readers can judge the cost tradeoff against named competitor models.

AIOpenBMB's 2B-parameter MiniCPM5 model runs as a local news desk on an older i5-9400F PC with 16GB RAM and no cloud API. The developer built a system that collects official sources hourly and sends a 24-hour Telegram recap with a lead story and links.

AILM Studio announced that Qwen3.8-27B runs at up to 144 tokens per second on an M5 Max MacBook Pro through its partnership with Inco Splash.

AILMSYS Org announced a blog on running DeepSeek-V4-Flash and Kimi-K3 on consumer hardware using SSD Expert Pack, built by WiCi AI and the SGLang team.

AISemiAnalysis tested offloading DeepSeek-V4.1-Flash's Engram embedding table from HBM to host DRAM and to local SSD. On B200 configurations, DRAM delivered more total tokens per dollar and higher P90 interactivity than SSD at every measured point.