# Kimi K3 - Core.Today AI API > Moonshot AI's Kimi K3 served through the OpenRouter aggregator - a 2.8T-parameter open-weight multimodal reasoning model with a 1M-token context and image/video input, built for complex coding, knowledge work, and long-horizon agentic workflows. Billed at OpenRouter's actual usage cost. - **Provider**: Moonshot AI - **Model ID**: moonshotai/kimi-k3 - **Category**: LLM - **Credits**: 17 per 1K tokens (avg, estimate) - **Speed**: Medium - **Quality**: Ultra ## Model Specifications - **Context Window**: 1.0M tokens - **Max Output**: 33K tokens - **Training Cutoff**: Not published - **Supported Formats**: text, json, markdown - **Compatible SDK**: OpenAI ### Capabilities - Vision (image input) - Function Calling - Streaming - JSON Mode - System Prompt ### Token Pricing (per 1M tokens) - **Input Tokens**: 5,574 credits ($3.72) - **Output Tokens**: 27,870 credits ($18.58) - **Cached Tokens**: 557.4 credits ($0.37) ## Features - 1M-token context window - Multimodal input (image + video) with text output - 2.8T-parameter open-weight reasoning model (reasoning_effort supported) - OpenAI-compatible API (chat completions) via /llm/openrouter/v1 - Billed at OpenRouter's actual usage.cost - listed rates are estimates ## Use Cases - Complex coding and repository-scale refactoring - Long-horizon agentic workflows with tool use - Knowledge work over long documents, images, and video ## API Endpoint Base URL: https://api.core.today Endpoint: POST /llm/openrouter/v1/chat/completions ## Authentication Header: Authorization: Bearer YOUR_API_KEY Note: LLM endpoints use OpenAI-compatible format with Authorization Bearer token. ## Input Parameters ### Required - **model**: string - Model ID in vendor/model form, e.g. "moonshotai/kimi-k3". - **messages**: array - Chat messages in OpenAI format (system/user/assistant roles). ### Optional - **temperature**: number (default: 0.7) - Sampling temperature (0-2). - **max_tokens**: integer (default: 2048) - Maximum completion tokens. - **stream**: boolean (default: false) - Stream the response as server-sent events. ## Examples ### Chat completion OpenAI-compatible chat completion request via OpenRouter ```json { "model": "moonshotai/kimi-k3", "messages": [ { "role": "user", "content": "Summarize the attached report in 5 bullets." } ], "max_tokens": 1024 } ``` ## Response Format ```json { "id": "chatcmpl-abc123", "object": "chat.completion", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Response text here" }, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 100, "completion_tokens": 50, "total_tokens": 150 } } ``` ## Tips - Works with the OpenAI SDK - set base_url to https://ai.api.core.today/llm/openrouter/v1 - Charged at OpenRouter's usage.cost x 1,858 credits/USD - the listed rates are estimates and may lag OpenRouter price changes - Output tokens cost ~5x input - keep max_tokens tight and use reasoning_effort to control how much the model thinks on simple tasks ## Documentation https://openrouter.ai/moonshotai/kimi-k3