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Moonshot AI's Kimi K2 API Offers Native Multimodal Support with 256K Context Window

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Moonshot AI has released Kimi K2, a Mixture-of-Experts model accessible via a standard chat-completions API endpoint at api.moonshot.cn/v1. The model supports both text and image inputs natively, allowing developers to pass image URLs or base64 data directly within message content arrays. Kimi K2 offers a 256K token context window and supports additional features including function calling, streaming responses, and agent-swarm workflows. Integration follows the same request structure used by other OpenAI-compatible APIs, making it straightforward to adopt via cURL or Python. Developers are advised to manage image resolution carefully, as images consume tokens against the shared context window and affect billing.

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