GoKawiilKimi K3, Moonshot AI's 2.8-trillion-parameter flagship model, is now available on the Telnyx Inference API. It is the world's first open-source model in the 3-trillion-parameter class, built on Kimi Delta Attention and Attention Residuals with a 1M-token context window and native vision capabilities.
What's new
New model available: Kimi K3 (model ID: moonshotai/Kimi-K3) is now selectable on the Telnyx Inference API alongside existing models including Kimi K2.6, GLM-5.2-FP8, and MiniMax M3.
Kimi K3 (model ID: moonshotai/Kimi-K3) is now selectable on the Telnyx Inference API alongside existing models including Kimi K2.6, GLM-5.2-FP8, and MiniMax M3. 2.8T parameters: The largest open-weight model available on Telnyx Inference. First open-source model to reach the 3-trillion-parameter class.
The largest open-weight model available on Telnyx Inference. First open-source model to reach the 3-trillion-parameter class. 1M token context window: Supports codebase analysis, long document processing, and multi-turn agent sessions with stable long-context performance.
Supports codebase analysis, long document processing, and multi-turn agent sessions with stable long-context performance. Native vision: Accepts text, images, and video input within the same model. Multimodal reasoning without a separate vision adapter.
Accepts text, images, and video input within the same model. Multimodal reasoning without a separate vision adapter. Configurable reasoning effort: Three levels (low, high, max) to trade compute for depth of reasoning per request.
Three levels (low, high, max) to trade compute for depth of reasoning per request. Tool calling and structured output: Supports function calling, dynamic tool loading, and JSON schema constrained output for agentic workflows.
Supports function calling, dynamic tool loading, and JSON schema constrained output for agentic workflows. Prompt caching by default: Automatic prefix caching for repeated prompt prefixes across requests.
Why it matters
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