Moonshot AI has launched Kimi K2.5, an open-source multimodal model trained on 15 trillion tokens th...
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The release of Kimi K2.5 advances the open-weight strategy (cross.§B) and moves the agentic/coding boundary toward vision-driven 'vibe-coding' with high SWE-Bench performance.
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AI Coding · Player MapScaling Laws
Moonshot AI has launched Kimi K2.5, an open-source multimodal model trained on 15 trillion tokens that converts video uploads into functional web interfaces. The system uses an agent swarm of 100 sub-agents to reduce latency by 80% while matching top-tier SWE-Bench scores at 76.8%. This shift toward vision-driven vibe-coding removes the technical barrier between visual design and production code. Orchestrated swarms are now the benchmark for engineering efficiency. 🚀
