Kimi K2.7 Code
Moonshot
Kimi K2.7 Code delivers stability in agentic context. It maintains reliable tool calls over long sessions, supports the MCP protocol, and publishes its results on the MCP-Atlas and Program Bench agent benchmarks. Its size is close to one trillion parameters.
Key points: Agentic · Reliable tool calls · MCP protocol · MCP-Atlas · 1000B, 32B active.
Architecture
Kimi K2.7 Code is a one-trillion-parameter mixture-of-experts model with 32 billion active parameters per token (384 experts, 8 active), 61 layers, a 262,144-token context, a 400-million-parameter vision encoder and 595 GB of published weights, under the Modified MIT licence (Hugging Face card and config.json re-read on 2 September 2026). It is tuned for stability in agentic context.
Strengths
It maintains reliable tool calls over long sessions, supports the MCP protocol, and publishes its results on the MCP-Atlas and Program Bench agent benchmarks.
Use cases
Kimi K2.7 Code serves coding agents that chain many tool calls without drifting, on long code tasks.
Deployment
Served by vLLM on a GPU server, or consumed via API. It integrates with OpenCode and Hermes through the LiteLLM gateway.
Moonshot unveiled Kimi K3 in July 2026: 2,800 billion parameters, native vision, and always-on reasoning, aimed at enterprise AI. K2.7 Code remains the model of choice for coding assistants.
All models on the platform are interchangeable through a single gateway: switching models is a one-line configuration change, with no code to rewrite. The priority remains local execution.
Official sources
- moonshotai/Kimi-K2.7-Code, official model card on Hugging Face: licence, parameters, context window and weight format
- Artificial Analysis, model comparison index
Which machine can run Kimi K2.7 Code?
Kimi K2.7 Code totals 1000 billion parameters, about 575 GB in NVFP4. 6 platforms in the catalogue have enough memory. Active parameters govern speed, not footprint: every expert stays resident.
| Platform | Memory | Most precise format that fits | Sizing page |
|---|---|---|---|
| DGX Station | 748 GB | NVFP4 | Kimi K2.7 Code on DGX Station |
| RTX PRO 6000 server | 768 GB | NVFP4 | Kimi K2.7 Code on RTX PRO 6000 server |
| H200 SXM server | 1,128 GB | NVFP4 | Kimi K2.7 Code on H200 SXM server |
| B200 SXM | 1,440 GB | FP8 | Kimi K2.7 Code on B200 SXM |
| B300 SXM | 2,304 GB | FP16 | Kimi K2.7 Code on B300 SXM |
| GB300 NVL72 | 20,700 GB | FP16 | Kimi K2.7 Code on GB300 NVL72 |
See also Kimi K2.7 Code in NVFP4 and the full sizing matrix.