Three Open-Weight Drops in a Week: What Each One Runs On
Muse Spark Open, Reflection Beam, and Granite Switch 4.1 all landed on Hugging Face within two days. What fits on one GPU, a Mac, or a cluster.
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Muse Spark Open, Reflection Beam, and Granite Switch 4.1 all landed on Hugging Face within two days. What fits on one GPU, a Mac, or a cluster.
What the 'A3B' and 'A22B' suffixes mean, when Mixture-of-Experts beats a dense model on your hardware, and how to read a model card to tell which is which.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Chinese AI startup MiniMax has released M2.5, an open-weights model matching Claude Opus performance for coding and agentic tasks while costing 95% less to run
Open-source AI this week: Alibaba's efficient new model beats its larger predecessor, Mistral releases a 675B model under a permissive licence, and more.