Written by Jakub Rusinowski · Last updated July 10, 2026
Moonshot AI's 1-trillion parameter MoE flagship with 384 experts and a unique Agent Swarm architecture. Powers Cursor's Composer 2 IDE feature. Leads multiple coding and reasoning benchmarks including 93.33% on AIME 2026 and best Pass@1 on SWE-rebench. With 32B active parameters per token, requires datacenter infrastructure for self-hosting.
| Kimi K2.5 1T | Min 605 GB VRAM · Q4_K_M · 256,000 ctx · |
Install Ollama then run: ollama run
Minimum VRAM: 605 GB. For best results use Q4_K_M quantization.
Kimi K2.5 needs about 605 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Kimi K2.5 1T (605 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
Kimi K2.5's smallest variant needs about 605 GB, which exceeds a single RTX 4090 (24 GB). Use multiple GPUs, a higher-VRAM card, or Apple Silicon with large unified memory.
Q4_K_M is the best balance of quality and VRAM for Kimi K2.5 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
Install Ollama, then run: ollama run . This downloads Kimi K2.5 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.