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SEO release batch two

MoonshotAI: Kimi K2 0711 | API capability profile

MoonshotAI: Kimi K2 0711 API capability starts with model ID, modality, parameter surface, and the next key-check step.

Provider
Moonshot AI
4 models in catalog
Context
131,072
China model route
Input
$0.57
USD / 1M tokens
Output
$2.3
USD / 1M tokens

What this page answers

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It is optimized for...

  • Moonshot AI · moonshotai/kimi-k2
  • text->text · China model route
  • 131,072 context · $0.57 input

Before connecting

Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.

  • supports frequency_penalty
  • supports max_tokens
  • supports presence_penalty
  • supports repetition_penalty
  • supports seed

Next action

The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.

  • Check whether the model fits the use case
  • Then verify key permission and callable models