Kimi Code, Moonshot AI's terminal-first coding agent, just graduated its fastest inference mode out of beta. K2.7 Code HighSpeed is now generally available to all Allegretto and higher-tier subscribers, no beta program application required. After three weeks of limited access, the gates are open.
Same model, different gear
HighSpeed and standard Kimi K2.7 Code are the same underlying model with the same outputs and the same 262,144-token context window. HighSpeed trades a higher per-token price for lower latency and higher throughput. Think of it as a serving-infrastructure upgrade rather than a new model.
K2.7 Code HighSpeed delivers an output speed of approximately 180 tokens/s on coding tasks with median-length inputs, and up to 260 tokens/s in short-context scenarios. That makes it roughly 6x faster than the standard tier.
What K2.7 Code actually is
K2.7 uses a Mixture-of-Experts (MoE) architecture with 1 trillion total parameters and 32 billion active per token -- the same skeleton as K2.5 and K2.6, but with substantial optimizations focused on coding, agentic tool use, and token efficiency. MoE means the model routes each token through a small subset of specialist sub-networks rather than activating everything at once, keeping inference costs manageable despite the trillion-parameter scale.
External benchmark evaluations show that Kimi K2.7 Code significantly improves instruction compliance and long-horizon coding performance compared to K2.6, while reducing overthinking tendencies by 30% on average. Reducing overthinking means the model spends fewer tokens reasoning before it answers, which matters a lot when you are paying per output token.
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