LinkApodex AITool
Apodex-1.1-mini offers developers an open-weights model optimised for autonomous multi-step reasoning, tool usage, and long context windows in self-hosted environments.
Apodex AI positions the model as a general-purpose solver for complex tasks rather than a conventional conversational assistant. By handling native function calling and structuring execution into iterative tool loops, it supports parallel task decomposition and automated claim verification across code, spreadsheets, and technical documents.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
Similar in content, found by the AI search.
Article:B. An et al.
Researchers introduce Apodex 1.1, an agentic system designed for sustained, verifiable progress on complex tasks across coding, science, and finance. It pairs environment scaling with multi-agent coordination, achieving top-tier performance while keeping model sizes comparatively compact.
Link:Qwen
The Qwen team has released Qwen3.8-27B, a compact, dense vision-language model under the Apache-2.0 licence. The 27-billion-parameter model pairs Gated DeltaNet with conventional gated attention, handles images and videos natively, and introduces flexible reasoning controls.
Link:Empero AI
Empero AI has released Qwythos-27B-v1, an open-weight reasoning model based on Qwen3.5-27B. The checkpoint preserves multi-token prediction (MTP), vision capabilities, and a 1M-token context window while specialising in terminal and agentic workflows.
Link:Xiaomi MiMo Team
Xiaomi has unveiled MiMo-V2.5-Pro, an open-source Mixture-of-Experts model featuring 1.02 trillion total parameters with 42 billion active. The model supports a 1M-token context window and is specifically designed for complex agentic workflows and long-horizon software engineering.
Link:Z.ai
Z.ai has released GLM-5.2 on Hugging Face under the permissive MIT licence. The flagship open-weights model is designed for long-horizon agentic and coding workflows, featuring a robust 1M-token context window. Architectural updates including IndexShare and an enhanced MTP layer significantly cut computation FLOPs and accelerate speculative decoding.
Link:ornith-ai
ornith-ai has released Ornith-1.5-397B, an open-source multimodal mixture-of-experts model under the MIT licence. With 397 billion parameters and an end-to-end self-improvement loop, it delivers coding and reasoning benchmark performance comparable to top proprietary models.
Parts of this content were created with the assistance of AI.
