Run 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.
01 - Select your hardware #
click to compare[AMD Ryzen AI Halo 128GB 128GB UNIFIED
](/find/results?hardware_id=56&use_case=coding) [Framework Desktop 128GB 128GB UNIFIED
](/find/results?hardware_id=55&use_case=coding)
[GMKtec EVO-X2 128GB
128GB UNIFIED
](/find/results?hardware_id=54&use_case=coding) [Mac Mini M4 16GB 16GB UNIFIED
](/find/results?hardware_id=23&use_case=coding) [Mac Mini M4 Pro 24GB 24GB UNIFIED
](/find/results?hardware_id=24&use_case=coding) [Mac Mini M4 Pro 48GB 48GB UNIFIED
](/find/results?hardware_id=25&use_case=coding) [Mac Studio M4 Max 36GB 36GB UNIFIED
](/find/results?hardware_id=26&use_case=coding) [Mac Studio M4 Max 64GB 64GB UNIFIED
](/find/results?hardware_id=27&use_case=coding) [Mac Studio M4 Max 96GB 96GB UNIFIED
](/find/results?hardware_id=28&use_case=coding)
[On a budget? Compare own vs rent →](/budget?monthly_budget=100&team_size=1&use_case=coding)
[Count tokens & estimate API cost →](/token-counter)
## 02 - Save your rig (free)
Sign 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.
Top models by quality #
[Browse all models](/models)
[
01 DeepSeek V4 Pro MoE 1600.0B params - 1000k ctx 89
](/models/deepseek-v4-pro)
[
02 GLM 5.2 MoE 744.0B params - 1000k ctx 88
](/models/glm-5-2)
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03 Qwen3.6 35B A3B MoE 35.0B params - 262k ctx 87
](/models/qwen3-6-35b-a3b)
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04 DeepSeek V3 0324 MoE 671.0B params - 128k ctx 87
](/models/deepseek-v3-0324)
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05 DeepSeek V4 Flash MoE 284.0B params - 1000k ctx 86
](/models/deepseek-v4-flash)
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06 LongCat 2.0 MoE 1600.0B params - 1000k ctx 86
](/models/longcat-2-0)
Who's running what #
See all 22 → Bloomberg: 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.
Self-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.
Mistral 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.
Self-hosted Codestral in its RAISE/SovBox coding assistant for regulated aerospace, defense and public-sector clients; code-completion accuracy 50% -> 90%.
Self-hosted, 100% European Codestral powers multilingual SBB rail support bots (1k -> 30k employees, 80% fewer repetitive queries) and an accounting accruals agent.
Statuses: confirmed official source reported credible third-party, not officially confirmed testing evaluating, not deployed.
Curated and source-cited, not a scraper. Built a rig worth sharing? Browse shared builds →.