Kimi K3.1 Pro 规格公布：Terminal-Bench 超 GPT-6 Astra
Moonshot 公布 2.8T 参数、1M 上下文的 Kimi K3.1 Pro，Terminal-Bench 4.0 得 65.7 高于 Astra 的 58.2，并称 11 月 4 日前开放权重。
This is the most exciting thing about Kimi and that’s they’re about to give us a 2.8T parameter model to figure out how to run locally! Moonshot announced Kimi K3.1 Pro. Stats 🧠 2.8T total / 104B active 📚 1M context 🖼️ multimodal 🎮 Unreal + Unity + Godot coding 🧊 Blender + CAD 💭 thinking: low / high / max 🔓 full weights coming by Nov 4 And Moonshot says substantially more post-training compute pushes the giant K3 base model close to the strongest proprietary models. Terminal-Bench 4.0 Claude Opus 5.5 → 66.4 Kimi K3.1 Pro → 65.7 GPT-6 Astra → 58.2 Vendor-reported and not perfectly apples-to-apples, so independent testing comes next. But here’s the Local AI problem we’re about to get. Theoretical weight-only math for 2.8T 16-bit → 5.6TB 8-bit → 2.8TB 4-bit → 1.4TB 3-bit → ~1.05TB 2-bit → ~700GB 8× DGX Spark gives a cluster 1TB of aggregate unified memory so there’s a chance it will run at home. The K3.1 Pro weights aren’t downloadable yet. But by November 4 the race begins to see who can squeeze a 2.8T model onto hardware that has absolutely no business running it?