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On September 18, 2026, Qwen released the omni-modal model Qwen3.8-Omni-Flash. According to official information, this is its first omni-modal model built around agent capabilities, natively supporting audio-visual understanding, reasoning, and tool calling. The company says its audio-visual capabilities are close to Gemini 3.8 Flash, with agent performance improving by an average of 19.5 points on WildClawBench-MM and UniClawBench; it supports a 1M token context and uses 51.8% fewer tokens than static understanding on OmniVideoBench. Video input costs are about 89% lower than Qwen3.5-Omni-Plus. Alongside the release, Qwen-MM-Plugins is being open-sourced, and Qwen-Live Harness is coming soon. There are currently no subsequent independent development facts.
On September 18, 2026, Qwen released the omni-modal model Qwen3.8-Omni-Flash. According to official information, this is its first omni-modal model built around agent capabilities, natively supporting audio-visual understanding, reasoning, and tool calling. The company says its audio-visual capabilities are close to Gemini 3.8 Flash, with agent performance improving by an average of 19.5 points on WildClawBench-MM and UniClawBench; it supports a 1M token context and uses 51.8% fewer tokens than
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On September 9, 2026, Ant Bailing released and open-sourced Ling-3.0-flash-VL, the first native multimodal large model in the Ling series. Built as an extension of the Ling-3.0-flash MoE architecture, the model has 124B total parameters and 5.5B activated per inference, natively supports image, text, and video inputs, and has a 256K-token context window. According to the company, native multimodal joint training improved the model's score on the Artificial Analysis Intelligence Index v4.1.1 by 4 points over the text-only version, and it introduces a visual feedback loop of observe, act, verify, and correct, used for front-end replication, GUI agents, and medical report interpretation. The model is currently available for free trial on Ling Studio, and the BF16 and FP8 versions have been open-sourced on Hugging Face and ModelScope.
On September 9, 2026, Ant Bailing released and open-sourced Ling-3.0-flash-VL, the first native multimodal large model in the Ling series. Built as an extension of the Ling-3.0-flash MoE architecture, the model has 124B total parameters and 5.5B activated per inference, natively supports image, text, and video inputs, and has a 256K-token context window. According to the company, native multimodal joint training improved the model's score on the Artificial Analysis Intelligence Index v4.1.1 by 4
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Google launches new Gemini voice capabilities for Google AI subscription users. Users can search their Gmail inbox through conversation, organize ideas and tasks in Keep, and create new Docs. Sundar Pichai specifically mentioned that Docs Live will be quite practical, and attached a demo video and a link to learn more. There are currently no subsequent development facts.
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