The AI coding wars just got a new price leader. Moonshot AI’s Kimi 2.7, also known as K2.7 Code, is positioning itself as the budget-friendly alternative to Anthropic’s Claude Fable 5, one of the most capable coding models on the market. The pitch is straightforward: get close to the same performance for a fraction of the cost.
Kimi 2.7’s API pricing lands at $0.95 per million input tokens and $4.00 per million output tokens, with cache hits running just $0.19 per million tokens.
What Kimi 2.7 brings to the table
Under the hood, Kimi 2.7 runs on a Mixture-of-Experts architecture. The model boasts up to one trillion total parameters, but only 32 billion are active at any given time. This design lets it punch above its weight on performance while keeping computational costs manageable.
The model’s core selling points are long-context reliability and higher task success rates. For developers working on real-world software engineering problems, where files are long and dependencies are tangled, that reliability matters more than raw benchmark scores on toy problems.
