Kimi K2 0711 Instruct FP4

Kimi K2 0711 Fast

Deprecated. This model now routes to Kimi K2 0711.

Kimi K2 0711

Kimi K2 0711 version. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

Kimi K2 0905

Kimi K2 0905. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

Kimi K2 Instruct

Kimi K2 0905. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

Kimi K3.1 Pro TEE

Kimi K3.1 Pro is Moonshot AI's multimodal model post-trained from Kimi K3 for long-horizon coding, agentic workflows, and knowledge work. It always reasons, and supports image input, tool calling, and structured output with a 262,144-token context window shared by input and output. Running inside a TEE (Trusted Execution Environment) with attestation support for more private, verifiable inference.

Kimi K3.1 Pro

Kimi K3.1 Pro is a multimodal reasoning model for coding, 3D creation, document analysis and multi-step tool use. It supports a 1M-token context window and text, image and video inputs. Reasoning is always enabled, with low, high and max effort levels.