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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