GLM 5.1 is a paid, coding focused model that, in my hands, runs neck to neck with Claude Opus 4.6 on complex engineering and code analysis. It is only available through Zhipu’s coding plan with quarterly billing, and the current hosted endpoint is the only way to use it. If you care about long context … Read more
CohereLabs has released a new transcribe model: a 2 billion parameter automatic speech recognition system under the Apache 2 license, built on a conformer encoder with a lightweight transformer decoder. It supports 14 languages, handles long audio with built-in chunking, runs up to three times faster than models of a similar size, and I found … Read more
Retrieval augmented generation breaks when a question needs multiple pieces of evidence, and the fix is to add Chroma Context 1 as a dedicated retrieval model that decomposes the query, searches iteratively, prunes irrelevant chunks, and returns a ranked set of relevant documents. Pair those retrieved chunks with a strong frontier model to produce the … Read more
Qwen 3.6 35B A3B is a fully open weights Mixture of Experts model from Alibaba’s Qwen team with 35 billion total parameters but only ~3 billion active per token. It routes each token through a small subset of experts so you get the capacity of a larger model at the compute cost of a much … Read more
Gemini K2.6 is a Mixture of Experts model with 1 trillion total parameters where only 32 billion are active per token, 61 layers, a 256K token context, and a built-in vision encoder MoonWit for native image and video understanding. It runs tool use that includes authentic web search and executes Python in its own sandbox, … Read more
Open WebUI now has a native desktop app for Windows, macOS, and Linux. Download the installer for your platform, run it, and you are done. No Docker to manage and no browser tab to keep open, plus a system-wide floating chat bar you can pull up over any window with a keyboard shortcut. On Windows … Read more
Six top Chinese AI models, six different labs, same prompts, no retries, no cherry picking. I asked them all to solve three hard tasks side by side so we can see who actually built the best AI in China. All were run as expert with thinking mode where needed, and I kept the wording and … Read more
Tencent’s Hi3 Preview is a 295 billion parameter mixture-of-experts model that activates only 21 billion parameters per token, giving you the reasoning depth of a huge model at a fraction of the compute. It supports a 256K context window, includes a dialable reasoning mode, and is the first release from Tencent’s completely rebuilt pre-training and … Read more
Three of the most powerful AI models on the planet, all running at maximum reasoning effort, all tested on the same prompts. Same prompt, same moment, no cherry picking, no retries. This comparison is hands on Claude versus Deepseek versus Qwen, with each model pushed under identical real world constraints. We used Claude Opus 4.7 … Read more
You can install and run Deepseek V4 Flash fully local on a dual H100 96 GB server. The model uses FP4 and FP8 mixed precision, so loading the 284B parameters takes about 140 to 150 GB of VRAM, and 192 GB across two GPUs is enough to load it and get responses. Install vLLM and … Read more