Moonshot AI Releases Kimi K2.7-Code: 1T-Parameter Open-Weight Coding Model with Vision
Moonshot AI
Moonshot AI released Kimi K2.7-Code on June 12, 2026 — weights posted to HuggingFace (moonshotai/Kimi-K2.7-Code) under Modified MIT. The model is a 1-trillion-parameter MoE with 32B active parameters per token (384 experts, 8 selected), a 256K-token context window, and a 400M-parameter MoonViT vision encoder for image and video input. Vendor benchmarks show +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite over K2.6, with approximately 30% fewer reasoning tokens. API pricing: $0.95/$4.00 per million input/output tokens. Cloudflare Workers AI added the model on release day.
Why it matters
Kimi K2.7-Code is the fifth major open-weight coding model Moonshot has shipped in under a year. At sub-dollar input pricing with 1T-parameter scale, 256K context, and native vision support, it directly competes with DeepSeek V4-Flash and GLM-5.x for the agentic software engineering workload.
Importance: 4/5
Flagship open-weight coding model from a top-tier Chinese lab; immediate Cloudflare deployment; competitive benchmarks over prior generation.