Kimi K3 Weights Are Public: 2.8T Params, 64-GPU Reality
Moonshot released the full Kimi K3 weights on July 27, 2026: 2.8T params, 1M context, MXFP4. Read the license before you plan a deployment.
Category
Moonshot released the full Kimi K3 weights on July 27, 2026: 2.8T params, 1M context, MXFP4. Read the license before you plan a deployment.
NVIDIA's Cosmos-H-Dreams runs at 160 fps on one RTX PRO 6000, with weights, code, dataset, and recipe open. Not a robot controller, NVIDIA warns.
Two back-to-back merges add MiniMax Sparse Attention and a Qwen2.5-VL style vision tower to llama.cpp, but every existing MiniMax-M3 GGUF must be regenerated.
Cisco released Antares-350M and Antares-1B open-weight models for vulnerability localization. They run locally and cost about 172x less than GPT-5.5.
Prince Canuma's open-source Nativ wraps MLX in a SwiftUI chat app with a localhost API for Claude Code, Codex, and other coding agents.
Backed by $400M, the nonprofit Current AI wants to build a free, public-interest AI stack modeled on the early Web. Here's who's funding it and what's shipping.
Two new open-weight models point in opposite directions: Bonsai brings a 27B model toward phones, while Inkling targets customization at data-center scale.
VIDRAFT_LAB posts Ourbox-35B-JGOS to Hugging Face: 20 tok/s on an 8GB laptop GPU, ~17 tok/s on a CPU-only server, 86.4% on GPQA Diamond.
PhantaField's Sophon PFG-1 whitepaper claims ~95x Nvidia HBM4 bandwidth via monolithic 3D stacking. No silicon yet. Here's why it matters anyway.
DeepSeek V4, Cohere Command A+, ZAYA1-8B, and NVIDIA Nemotron 3 mark the busiest month for open-weight AI ever.
Three weeks away and the leaderboard reshuffled. Kimi K2.6 brings 1T parameters under open weights, Qwen 3.6 stays the consumer GPU king, and DeepSeek V4-Flash proves too hungry for single-card setups.
GLM-5.1 becomes the first open-weight model to top SWE-Bench Pro. The gap between open and proprietary AI is now just three months.
DeepSeek returns with a 1.6T MoE monster under MIT license, Gemma 4's 31B dense model climbs to #3 on Arena AI, and ICLR 2026 papers point to what's next for local inference.
DeepSeek V4 Pro approaches frontier-level performance. Google, Mistral, and Alibaba ship under Apache 2.0. Ollama hits 52 million monthly downloads.
DeepSeek V4 matches Claude Opus on coding at 7x lower cost under MIT license. NVIDIA's Nemotron 3 brings hybrid Mamba-Transformer MoE to the open. Google's TurboQuant cuts KV cache memory by 6x with no retraining.
Qwen3.6-27B scores 77.2% on SWE-Bench Verified with a dense architecture that fits on a single RTX 4090. The MoE efficiency narrative just got complicated.
Z.ai's GLM-5.1 beats GPT-5.4 on coding benchmarks under MIT license. Qwen3.6-35B-A3B runs frontier-level code with 3B active params. Microsoft open-sources agent governance for all 10 OWASP risks.
Alibaba drops Qwen3.6-35B-A3B with 73.4% on SWE-Bench Verified and Apache 2.0 licensing. The 3-billion active parameter class now has three serious contenders.
Google gives Gemma 4 a real open-source license. Mozilla launches Thunderbolt for self-hosted enterprise AI. Arcee AI trains a 400B reasoning model for $20 million. And Milla Jovovich broke GitHub.
NVIDIA's Nemotron 3 brings a hybrid Mamba-Transformer architecture to consumer GPUs while Meta abandons open source for proprietary Muse Spark. The open-weight field just reshuffled.
An open-weight model tops the hardest coding benchmark for the first time. A 1-bit LLM runs on a phone. And the protocol connecting AI to everything just passed React's adoption curve.
Google, Alibaba, Meta, Mistral, OpenAI, and Zhipu all ship competitive open-weight models under permissive licenses. The battleground shifts from benchmarks to inference speed on your actual GPU.
Alibaba's Qwen 3.6 Plus ships the first truly agentic open model. Google finally picks a real license. And OpenAI's Sora shutdown proves closed-source video generation can't pay the bills.
Google's Gemma 4 lands with Apache 2.0 licensing and benchmark-topping scores. But a nasty inference speed problem means Qwen still wins on your actual hardware.