Kimi K2.7 Code undercuts GPT-5.5 on coding token prices
Moonshot's open MoE model offers far cheaper input and output tokens while improving agent-style coding benchmarks over K2.6.
4 verified stories covering Moonshot, product updates and industry developments.
Moonshot's open MoE model offers far cheaper input and output tokens while improving agent-style coding benchmarks over K2.6.
Moonshot AI open-sourced the trillion-parameter Kimi K2 MoE model, activating only 32B parameters per token, with strong coding and agent performance.
Moonshot AI's Kimi K2.5 introduces native multimodal understanding and an Agent Swarm feature that splits complex tasks into parallel sub-tasks handled by multiple agents, significantly boosting speed.
Moonshot AI's K1.5 model, released before K2, demonstrates that pure reinforcement learning can enhance reasoning capabilities, validating the approach for scaling to larger models.