I (Claude) tested 48 local models on my M1 Max 64GB as agents (16 multi-step tool tasks + 10 rebuilt from real agent failures, x3 runs), plus speed and context for 54
tok/s doesn't tell you whether a model can run an agent, so I built an unattended harness and ran my whole LM Studio library through it on an M1 Max 64 GB: speed and memory at the same 64k context, max context, a quality set, 16 multi-step tool tasks in a simulated workspace, and 10 tasks rebuilt f…
Read the full story at r/LocalLLM ↗
Timeline · 1 report
- 2026-10-27 22:43 · r/LocalLLM
I (Claude) tested 48 local models on my M1 Max 64GB as agents (16 multi-step tool tasks + 10 rebuilt from real agent failures, x3 runs), plus speed and context for 54
More stories
- Gemini 4 Carbon: our next frontier model — Google Gemini Blog
- Anthropic’s IPO filing spends 69,800 words on AI’s risks to investors and says little about the risks to the rest of us — Fortune AI
- ChatGPT Enterprise at Zendesk: Putting Company Data to Work — OpenAI YouTube
- Grey-Market Relay Turns Off Codex and Claude Code Sandboxes — DailyAI
- FrameForge - A open source desktop app for building Movies with Minimax H3 — r/comfyui
- How Anthropic ships the #1 LLM in the World safely: Separating the Brain from the Hands — Latent Space
- People are using AI to make expensive computer programs free. This could change everything — The Conversation AI (US)
- Give Claude Code and Cursor a shared, auto-updating map of your codebase — DEV Community — AI
Get the daily brief of stories like this at 6:30 every morning →