🧑‍💻 New Chinese Model Codes As Well As Claude 4 Opus and GPT‑4.1
Chinese startup Moonshot AI has released Kimi K2, a 1-trillion-parameter LLM with open weights and source code.
It uses a Mixture of Experts (MoE) architecture. Instead of activating all parameters at once, it selects just 32 billion that best match the input. This approach yields faster performance, lower computational costs, and higher accuracy.
With a 128K token context window, the model is designed for coding and tool use—it can call APIs, create charts, analyze data, write, debug, and execute code. However, it does not support reasoning mode.
đź–Ą The model's weights and code are available on GitHub, and it's free to use, even for commercial projects. The only requirement is that if your app has over 100 million users or generates $20M+ per month, you must display the name Kimi K2 in your UI.
Chinese startup Moonshot AI has released Kimi K2, a 1-trillion-parameter LLM with open weights and source code.
It uses a Mixture of Experts (MoE) architecture. Instead of activating all parameters at once, it selects just 32 billion that best match the input. This approach yields faster performance, lower computational costs, and higher accuracy.
With a 128K token context window, the model is designed for coding and tool use—it can call APIs, create charts, analyze data, write, debug, and execute code. However, it does not support reasoning mode.
đź–Ą The model's weights and code are available on GitHub, and it's free to use, even for commercial projects. The only requirement is that if your app has over 100 million users or generates $20M+ per month, you must display the name Kimi K2 in your UI.
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🧑‍💻 New Chinese Model Codes As Well As Claude 4 Opus and GPT‑4.1
Chinese startup Moonshot AI has released Kimi K2, a 1-trillion-parameter LLM with open weights and source code.
It uses a Mixture of Experts (MoE) architecture. Instead of activating all parameters at once, it selects just 32 billion that best match the input. This approach yields faster performance, lower computational costs, and higher accuracy.
With a 128K token context window, the model is designed for coding and tool use—it can call APIs, create charts, analyze data, write, debug, and execute code. However, it does not support reasoning mode.
đź–Ą The model's weights and code are available on GitHub, and it's free to use, even for commercial projects. The only requirement is that if your app has over 100 million users or generates $20M+ per month, you must display the name Kimi K2 in your UI.
Chinese startup Moonshot AI has released Kimi K2, a 1-trillion-parameter LLM with open weights and source code.
It uses a Mixture of Experts (MoE) architecture. Instead of activating all parameters at once, it selects just 32 billion that best match the input. This approach yields faster performance, lower computational costs, and higher accuracy.
With a 128K token context window, the model is designed for coding and tool use—it can call APIs, create charts, analyze data, write, debug, and execute code. However, it does not support reasoning mode.
đź–Ą The model's weights and code are available on GitHub, and it's free to use, even for commercial projects. The only requirement is that if your app has over 100 million users or generates $20M+ per month, you must display the name Kimi K2 in your UI.
BY ChatGPT | LLM mastery
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