Liquid AI releases Open d1 open-weight multimodal decision models
Liquid AI has released Open d1, introducing the d1-3B and d1-omni-600M open-weight multimodal models designed for real-time decision-making across edge devices and data centers.
Liquid AI has released Open d1, introducing the d1-3B and d1-omni-600M open-weight multimodal models designed for real-time decision-making across edge devices and data centers.
Perplexity Developers has made pplx-decider-v1.1-27b available as an updated open-weights multimodal decision model. Priced at $0.02 per million input tokens, the model costs half as much as v1 and ranks highest on the Hugging Face Decision Index 0.3 benchmark according to the team.
Mistral AI announced Mistral Large 4, a 1-trillion parameter natively multimodal model with 49 billion active parameters. The model is available now via API and Mistral Cloud infrastructure, ahead of an open weights release planned for late October.
Cline has added Ling 3.1 Flash and is offering it free until October 13. The mixture-of-experts model has 560 billion total parameters and 25 billion active parameters, and Cline says it is on par with open-weight models such as Kimi K3 and DeepSeek V4 Pro.
Aleph Alpha’s Kolibri has 78 billion parameters, with 3.46 billion active, and a context window of up to 1 million tokens. The weights are available to run on local hardware under Apache 2.0.
Jure Leskovec says NVIDIA Kumo Tabular is a new family of foundation models for tabular data, released with open weights, open-source software, and a permissive license for commercial use.
On the Artificial Analysis Text to Image Leaderboard, the 6B Ming-Image-0.1-Design model places 17th of 81 in UI/UX design and first among open-weight models, compared with 45th of 160 overall. It is released under the MIT license with RGBA output and was evaluated at 2K resolution using 12 inference steps.
Weights, code, a fine-tuning recipe, benchmarks, and reproducible examples are being released. Black Forest Labs says the world action model ranks first on RoboLab, 6.1 percentage points ahead of the previous best open model, with 56% fewer parameters and up to 3.95 times faster running speed.
B.AI now offers Xiaomi MiMo’s open-weights MiMo-V2.6-Pro and MiMo-V2.6-Flash on its API and web chat. Both are native multimodal reasoning models with a 1M context window and full text, image, video, and audio understanding.
Artificial Analysis finds no single open-weight text-to-speech model ahead on all nine new language leaderboards. Leadership is split among Higgs Audio V3 TTS, OpenAudio S1 Mini, Voxtral TTS and Breeze TTS 2.
No single open-weight text-to-speech model leads all nine languages in Artificial Analysis’s rankings. Higgs Audio V3 TTS, OpenAudio S1 Mini, Voxtral TTS, and Breeze TTS 2 each top the open-weight field in different languages, and each board includes only 2 to 6 open-weight models.
StepFun highlighted Artificial Analysis results putting Step 5 Preview at 44 on the Intelligence Index and $0.71 per task, with more to come on Oct 15. The evaluation describes a 600B/27B MoE flagship with first-party API access and open weights planned for October 15.
Cline said flagship model MiMo-v2.6-Pro is officially out and already available in ClinePass. It also called the model the best-performing open-weights model on the artificial intelligence index.
Alibaba Cloud announced Qwen-Image-2.1, a unified 7B image generation and editing model with open weights. The company says it natively handles RGBA layers, supports up to 10 reference images, and is available on GitHub, ModelScope, and Hugging Face.
ComfyUI said Qwen-Image-2.1 is now supported, describing an open-weights 7B checkpoint for generation and editing. Qwen quoted that announcement and highlighted the ComfyUI support.
Qwen announced Qwen-Image-2.1, saying the 7B model unifies image generation and editing and that its weights are now open. The company said it natively handles RGBA layers, supports up to 10 reference images, and offers precise local control.