Kimi 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.
• 2.8T parameters: 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.
• Native vision: 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.
• Tool calling and structured output: 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

The competitive advantage in AI is shifting from who builds the smartest model to who builds the infrastructure that decides where every request runs, and K3 is evidence that the model side of that equation is solving itself. Kimi K3 is the first open-source model to reach 2.8 trillion parameters, and on benchmarks for coding, reasoning, and agentic knowledge work, it competes with closed-source frontier models from Anthropic and OpenAI, proving that open-source is not far behind the frontier labs, and in some cases is already there.

K3 now runs on Telnyx-owned GPU infrastructure and can be access via the OpenAI-compatible API.

Pricing

Learn more in the Inference documentation or try it in Mission Control.