Proprietary models
Proprietary models on Beyond Market Intelligence: a running collection of 5 stories we have gathered and hand-picked because they are worth your time. Every post here touches on proprietary models in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around proprietary models, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
5 Best Local LLMs You Can Run on a Mac mini in 2026
Proprietary large language models offer remarkable capabilities, but configurability and on-device control are increasingly valuable. The Mac mini, powered by Apple Silicon, has surprisingly emerged as a potent platform for local AI processing. Utilizing tools like Ollama and LM Studio, users can now run capable models entirely on their Mac. Explore our ranking of the 5 best local LLMs you can run on a Mac mini in 2026, and discover how to transform your data workflows.
How to Use Kimi K3: Moonshot AI’s 2.8T Open-Weight Model
Moonshot AI’s Kimi K3 presents a compelling alternative in the large language model landscape. This 2.8-trillion-parameter open-weight model, leveraging a Mixture-of-Experts architecture, delivers near-frontier coding and agentic performance while optimizing inference costs by activating only a fraction of its parameters. K3 distinguishes itself with its combination of powerful capabilities, open weights, and competitive API pricing. Interested in exploring model quantization? See "I developed my own quantized LLM from scratch" for a deep dive into related techniques.
SpaceXAI debuts Grok 4.6, overtaking Kimi K3's performance and matching GPT-5.6 Sol for world's third best on Artificial Analysis
SpaceXAI, formerly xAI, has released Grok 4.6, its latest AI model, focused on long-running agents, coding, and knowledge work, offering a competitive pricing strategy. Scoring 61 on the Artificial Analysis Intelligence Index, Grok 4.6 ties OpenAI's GPT-5.6 Sol for the third-best position globally, surpassing Kimi K3. This upgrade delivers significant gains over Grok 4.
Semi Edge Inference Idea [D]
The escalating cost of AI inference is a critical challenge. A compelling approach, as proposed by /u/komorra, involves strategically distributing model inference across both server and edge computing—client devices—to potentially alleviate datacenter processing burdens and shift costs. The concept of splitting proprietary models, with portions residing on clients and others on secure servers, offers a future-focused solution. This architecture, potentially realized through specialized client and server models communicating via standardized protocols, echoes initiatives like Cloudflare's recent introduction of Cloudflare Computer, exploring similar agent environments.
Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way
Google DeepMind has unveiled the Gemini 3.6 Flash model, engineered to significantly reduce AI agent token costs—cutting them by up to 65% on demanding long-horizon engineering tasks. Priced competitively at $1.50/$7.50 per million input/output tokens, it joins the Gemini 3.5 Flash-Lite ($0.30/$2.50) and specialized Gemini 3.5 Flash Cyber models, all designed to enhance speed, intelligence, and scalability. These advancements prioritize efficiency, streamlining workflows and empowering developers—a strategy mirrored in Weka's recent storage platform innovations. Gemini 3.5 Pro remains