Tag: #open-source-llm20 results
Alibaba Group has made its flagship Qwen3.8-Max model widely accessible to global users. This release precedes a full open-weights launch scheduled for next week, signaling a shift back to open-source strategies for their top-tier models.
Meituan has open-sourced LongCat-2.0, a 1.6 trillion-parameter LLM. It marks a significant milestone as the first Chinese model trained entirely on domestic hardware.
Zhipu AI's GLM-5.1 is now live for Coding Plan users, topping open-source benchmarks like SWE-bench-Verified at 77.8 pts and Terminal Bench 2.0 at 56.2 pts. It rivals Claude Opus 4.5 and beats GPT-4o on coding, with 200K context and agentic capabilities.
Alibaba open-sourced three new Qwen3.5 models: Qwen3.5-35B-A3B, Qwen3.5-122B-A10B, and Qwen3.5-27B, outperforming larger predecessors and GPT-5 mini on multiple benchmarks. These MoE and dense models run on consumer GPUs, with Qwen3.5-Flash hosted on Alibaba Cloud at 0.2 yuan per million input tokens. They excel in agent tasks, coding, math, and multimodal reasoning.
Alibaba's Qwen 3.5 has topped Hugging Face's open-source model leaderboard. Chinese models now occupy 8 of the top 10 positions. The model boasts 397B total parameters but activates only 170B for efficiency.
Guide Labs open-sourced Steerling-8B, an 8-billion-parameter LLM with a novel architecture. The design enables easy interpretability of the model's actions. This debut advances transparent AI development.
Stepfun has released Step 3.7 Flash, a 196B-parameter sparse MoE model specifically optimized for agentic workflows. It features high-speed inference of 400 tokens/s and native tool-calling capabilities.
User tests show Gemma 4 26B A4B maintaining coherence at 94% of 262k context using llama.cpp and Unsloth GGUF. It handles complex tasks like debugging NVIDIA SMI scripts accurately. Optimized settings prevent looping at high contexts.
Covenant AI released Covenant-72B, the largest model trained on decentralized permissionless GPU nodes. It employs SparseLoco, built on DiLoCo, to cut communication overhead via reduced sync frequency, local AdamW optimizer, and top-K sparsification addressing bandwidth issues.
A breaking Reddit post announces the release of Qwen 3.5 small model today. Shared on r/LocalLLaMA by user Illustrious-Swim9663. Links to discussion available.