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Model news

Updates on Chinese AI models and their practical impact on API integration, model selection, and cost.

  1. open_model

    Supersonic Labs Releases Julia 1: A 144.3M-Parameter Apache 2.0 Decision Model That Runs on CPU at the Edge

    According to a MarkTechPost report dated September 26, 2026, Brazil-based Supersonic Labs released Julia 1, a 144.3-million-parameter decision model built on mmBERT-small, with weights released under Apache 2.0, supporting three call types (choice, score, noul), runnable locally on CPU. Its trials exceeded the Jev reference values on Typed Decisions, AG News, and DAIR Emotion, but lagged clearly on 72-label Banking77; a hosted API has been announced but is not yet available.

  2. domestic_model

    NetEase Youdao Open-Sources R2T2 and T3PO: True Streaming ASR and Simultaneous Translation Models Top Hugging Face Trends

    According to Xinzhiyuan (AI Era) reporting, NetEase Youdao has open-sourced the true streaming speech recognition model R2T2 and the streaming translation model T3PO, which reached the top of Hugging Face's speech recognition and translation trending lists about five days after release. The report states R2T2 uses a Commit/Wait mechanism so that output text is no longer rewritten, and gives comparison figures against Whisper and commercial APIs.

  3. flux

    Black Forest Labs Releases FLUX 3 Action: 7B World-Action Model, Weights on Hugging Face

    According to a September 24, 2026 report by The Decoder, Black Forest Labs released FLUX 3 Action, an open-source robotics model built on the multimodal FLUX 3, which takes multi-camera video streams as input to predict the next actions and environmental changes; the 7B-parameter model set a success-rate record on RoboLab-120 and runs up to 3.95x faster than the previous best open-source model.

  4. liquid

    Liquid AI Releases LFM2.5-VL-DSpark: 3B Vision Model Plus Draft Model, Up to 3.13x Decode Speedup

    According to a Liquid AI blog post published in September 2026, Liquid AI introduced an experimental DSpark draft model for its open-weight vision-language model LFM2.5-VL-3B, adding roughly 280 million parameters (an 8.9% increase over the 3B target model), claiming up to 3.13x device-side decoding speedup and up to 2.66x on H100, with day-one support for llama.cpp, MLX-VLM and SGLang.

  5. domestic_model

    Seven universities open-source OpenWAM: a full-stack world action model framework and base weights

    According to Machine Heart, a team from seven universities including the National University of Singapore, Tsinghua University, and Peking University has open-sourced OpenWAM, comprising the modular infrastructure OpenWAM-Infra, the controlled-experiment study OpenWAM-Study, and the base model OpenWAM-α, covering eight simulation benchmarks and three classes of real robot platforms, with pretrained weights and a data recipe released.

Model news | KimiSeek