硅基流动上线月之暗面Kimi K2.7 Code模型。基于K2.6改进，专注编码与智能体任务。32B激活/1T总参，VLM多模态，支持交错思考与多步工具调用。相比K2.6，推理token使用减少30%，减少过度思考；长程编码任务指令遵循和完成率提升。性能接近GPT5.5与Opus 4.8。价格：缓存输入0.19/输入0.94/输出4.00每百万token。
K2.7 Code 在编码上逼近 GPT-5.5 和 Opus 4.8，同时推理 token 用量降低 30%，对追求前沿编码能力又在意成本的技术团队是个实用选择，硅基流动上的定价也给了明确预期。
Better Coding with Less Overthinking
K2.7 Code takes K2.6's strong base and goes deep
Meet @MoonshotAI Kimi K2.7 Code on SiliconFlow — coding-focused, agentic, purpose-built on K2.6.
💰 Cache Input/Input/Output: 0.19/0.94/4.00 per 1M tokens
💪Improved coding & agentic performance, approaches GPT5.5 & Opus 4.8
🧠Less overthinking: 30% lower reasoning-token usage vs K2.6
⚙️Long-horizon coding: better instruction following, higher end-to-end task completion rates
32B Activated/ 1T Params | VLM | Interleaved Thinking | Multi-Step Tool Call
Try it on SiliconFlow ⬇️
来源：SiliconFlow · x.com