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Moonshot AI releases Kimi K2-Instruct-0905, an update to its 1-trillion-parameter Kimi K2 that doubles the context window from 128K to 256K tokens and improves agentic coding and front-end output, with SWE-bench Verified at 69.2%.

Moonshot AI releases Kimi K2.5, an open-weight native multimodal model continually pre-trained on about 15 trillion mixed visual and text tokens, with an Agent Swarm mode that coordinates up to 100 sub-agents across 1,500 tool calls.

Moonshot AI open-sources Kimi K2.6, a 1-trillion-parameter multimodal mixture-of-experts model with 32 billion active parameters, a 256K token context window and agent swarms of up to 300 sub-agents running 4,000 coordinated steps.

Moonshot AI releases Kimi K3, a 2.8-trillion-parameter open-weight multimodal model with a 1 million token context window, priced at $3.00 per million input tokens and $15.00 per million output tokens, with weights published on 27 July.