AI Briefing#inclusionai
The latest AI and developer news about #inclusionai, with the original source and a short summary.
The latest AI and developer news about #inclusionai, with the original source and a short summary.
The new models use full-image inference without zooming tools, improving overall accuracy from 55.52 to 60.51 across six domains.
The model features a 1M-token context window and is designed for coding, multi-step reasoning, and tool-using agents.
The upgraded 560B-parameter model features a 1M-token context window and improved performance on reasoning and automation benchmarks.
The model features a hybrid-linear MoE architecture supporting 256K token contexts and is available on Hugging Face and ModelScope.
The 0.5B parameter model supports voice design, 7 languages, and emotion/style control.
The draft models combine a five-layer DFlash backbone with a learned bigram selector to propose multiple candidate continuations for target-model verification.
The compact Mixture-of-Experts model supports speech recognition, audio reasoning, and optional synthesized speech responses in Chinese and English.
The model activates 6.5B parameters per inference step and supports speech recognition, audio reasoning, and synthesized speech responses under an MIT license.
The model features 25B active parameters per token and demonstrates strong performance on agentic benchmarks like Terminal-Bench 4.0 and SWE-bench Pro.
The model is free to use through October 13, 2026.
inclusionAI has released Realtime-Venus, a 9B-scale multimodal dialogue model capable of processing video and audio in real time.
inclusionAI has released Ling-3.0-flash-VL, a multimodal model featuring a 1M token context window and MoE architecture.
Vercel AI Gateway is offering the medical-specific model Ling 3.0 Flash Sante for free until October 4.
Vercel AI Gateway is offering the finance-specialized model Ling 3.0 Flash Fin for free until September 25.
InclusionAI released a 124B MoE model with 5.1B active parameters.
LLaDA2.2 has been released, overcoming the fixed-length output limitation of diffusion language models and improving agentic performance.
InclusionAI has released the Ling and Ring 2.6 models, achieving agentic intelligence at trillion-parameter scale.
Vista, a model based on Qwen 3.5 that precisely predicts the coordinates of GUI elements, has been released.
inclusionAI has open-sourced Ling-2.6-1T, a 1T-parameter-class model.
Ling-2.6-flash has been open-sourced, achieving up to 340 tok/s on 4× H20.