Kimi

Moonshot AI

moonshotai/ · 5 models

Access 5 Moonshot AI models through AnonRouter's privacy-first gateway, including Kimi K2.5, Kimi K2.6, and Kimi K2.7 Code. Compare pricing, context windows, and capabilities across Moonshot AI's text routes — every request anonymized, with no payload logging.

Models

5

Modalities

1

Text

From (input)

$0.56

per 1M tokens

Max context

1M

Private routes

5 / 5

not anonymous-only

Catalog by modality

5 routes
Text5

Moonshot AI models5

Kimi
Kimi K2.5
moonshotai/kimi-k2.5
Private

Kimi K2.5 is Moonshot AIs most advanced open reasoning model, featuring trillion-parameter Mixture-of-Experts architecture with 32B active parameters and 256K context windows.

Private|256K context|$0.56/M input|$3.50/M output
Kimi
Kimi K2.6
moonshotai/kimi-k2.6
E2EE

Kimi K2.6 is an open-source, native multimodal agentic model from Moonshot AI with 1T total parameters and 32B active parameters. It excels at long-horizon coding, coding-driven design, agent swarm orchestration, and proactive autonomous execution with 256K context windows.

E2EE|256K context|$0.75/M input|$3.50/M output
Kimi
Kimi K2.7 Code
moonshotai/kimi-k2.7-code
Private

Kimi K2.7 Code is Moonshot AI's coding-focused agentic model built on Kimi K2.6, with 1T total parameters and 32B active parameters. It always operates in thinking mode, supports text and image input, and targets long-horizon software engineering, agentic task decomposition, and multi-turn coding workflows with 256K context.

Private|256K context|$0.75/M input|$3.50/M output
Kimi
Kimi K3
moonshotai/kimi-k3
TEE

Kimi K3 is an ultra-large-scale, open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at navigating large repositories, using tools, debugging, and iterating against images, logs, tests, and runtime feedback.

TEE|1M context|$3.75/M input|$18.75/M output
Kimi
Kimi K2 Thinking
moonshotai/kimi-k2-thinking
Private

Kimi K2 Thinking served through Amazon Bedrock with support for AWS zero-data-retention mode.

Private|256K context|$0.60/M input|$2.50/M output
Moonshot AI models — AnonRouter