{"slug": "show-hn-tokenstead-find-ai-models-for-your-hardware", "title": "Show HN: Tokenstead, find AI models for your hardware", "summary": "Tokenstead, a new web tool, lets users select their hardware to find compatible open AI models with speed estimates and cloud-pricing comparisons, aiming to enable local AI model usage independent of vendors or governments. The platform also tracks who is running what models, citing sources like Bloomberg's report on Microsoft replacing OpenAI/Anthropic models with in-house MAI models.", "body_md": "# Find the right model for your hardware\n\nRun AI on hardware you own, so no vendor or government order can switch off the model you depend on. Pick your rig and see which open models fit - with honest speed estimates, cloud-pricing comparisons, and a source-cited tracker of who's running what.\n\n## 01 - Select your hardware\n\nclick to compare[AMD Ryzen AI Halo 128GB\n128GB UNIFIED\n](/find/results?hardware_id=56&use_case=coding)\n\n[Framework Desktop 128GB\n128GB UNIFIED\n](/find/results?hardware_id=55&use_case=coding)\n\n[GMKtec EVO-X2 128GB\n128GB UNIFIED\n](/find/results?hardware_id=54&use_case=coding)\n\n[Mac Mini M4 16GB\n16GB UNIFIED\n](/find/results?hardware_id=23&use_case=coding)\n\n[Mac Mini M4 Pro 24GB\n24GB UNIFIED\n](/find/results?hardware_id=24&use_case=coding)\n\n[Mac Mini M4 Pro 48GB\n48GB UNIFIED\n](/find/results?hardware_id=25&use_case=coding)\n\n[Mac Studio M4 Max 36GB\n36GB UNIFIED\n](/find/results?hardware_id=26&use_case=coding)\n\n[Mac Studio M4 Max 64GB\n64GB UNIFIED\n](/find/results?hardware_id=27&use_case=coding)\n\n[Mac Studio M4 Max 96GB\n96GB UNIFIED\n](/find/results?hardware_id=28&use_case=coding)\n\n[On a budget? Compare own vs rent →](/budget?monthly_budget=100&team_size=1&use_case=coding)\n\n[Count tokens & estimate API cost →](/token-counter)\n\n## 02 - Save your rig (free)\n\nSign in with GitHub to save your hardware. New here? We'll guide you through picking your rig - Mac, multi-GPU (up to 8x), or custom specs - then show you exactly which models you can run locally.\n\n[Sign in with GitHub - free](/login)\n\n## Top models by quality\n\n[Browse all models](/models)\n\n[\n01\nDeepSeek V4 Pro\nMoE\n1600.0B params - 1000k ctx\n89\n](/models/deepseek-v4-pro)\n\n[\n02\nGLM 5.2\nMoE\n744.0B params - 1000k ctx\n88\n](/models/glm-5-2)\n\n[\n03\nQwen3.6 35B A3B\nMoE\n35.0B params - 262k ctx\n87\n](/models/qwen3-6-35b-a3b)\n\n[\n04\nDeepSeek V3 0324\nMoE\n671.0B params - 128k ctx\n87\n](/models/deepseek-v3-0324)\n\n[\n05\nDeepSeek V4 Flash\nMoE\n284.0B params - 1000k ctx\n86\n](/models/deepseek-v4-flash)\n\n[\n06\nLongCat 2.0\nMoE\n1600.0B params - 1000k ctx\n86\n](/models/longcat-2-0)\n\n## Who's running what\n\n[See all 22 →](/adoption)\n\nBloomberg: Microsoft replacing OpenAI/Anthropic models with in-house MAI models in Excel and Outlook to cut inference spend; a tuned MAI variant claims GPT-5.4 parity at up to 10x efficiency. Proprietary (not open-weight), but the same frontier-API cost pressure.\n\nSelf-hosted Llama 3.1 8B on Kubernetes automates support-ticket creation and resolution drafts for the ad-tech platform; 80% less time to create tickets.\n\nMistral Medium 3.5 (128B) for up to 100k French public-sector agents under a 4-year, EUR 140M framework; on-prem SecNumCloud option for sovereignty.\n\nSelf-hosted Codestral in its RAISE/SovBox coding assistant for regulated aerospace, defense and public-sector clients; code-completion accuracy 50% -> 90%.\n\nSelf-hosted, 100% European Codestral powers multilingual SBB rail support bots (1k -> 30k employees, 80% fewer repetitive queries) and an accounting accruals agent.\n\nStatuses: confirmed official source reported credible third-party, not officially confirmed testing evaluating, not deployed.\n\nCurated and source-cited, not a scraper. Built a rig worth sharing?\n[Browse shared builds →](/rigs).", "url": "https://wpnews.pro/news/show-hn-tokenstead-find-ai-models-for-your-hardware", "canonical_source": "https://tokenstead.ai/", "published_at": "2026-07-09 14:10:48+00:00", "updated_at": "2026-07-09 14:36:59.799200+00:00", "lang": "en", "topics": ["ai-tools", "ai-products", "ai-infrastructure", "ai-startups"], "entities": ["Tokenstead", "Microsoft", "OpenAI", "Anthropic", "Bloomberg", "Llama", "Mistral", "Codestral"], "alternates": {"html": "https://wpnews.pro/news/show-hn-tokenstead-find-ai-models-for-your-hardware", "markdown": "https://wpnews.pro/news/show-hn-tokenstead-find-ai-models-for-your-hardware.md", "text": "https://wpnews.pro/news/show-hn-tokenstead-find-ai-models-for-your-hardware.txt", "jsonld": "https://wpnews.pro/news/show-hn-tokenstead-find-ai-models-for-your-hardware.jsonld"}}