Moonshot v1 128K

Moonshot v1 128K for very long-document analysis, retrieval-augmented reading and complex context workflows

Published

Moonshot v1 128K is a Moonshot/Kimi model for very long-document analysis, retrieval-augmented reading and complex context workflows, often evaluated for Chinese document and knowledge workflows.

descriptionOverview

Overview

Moonshot v1 128K is listed in Moonshot AI's official platform documentation, with model ID moonshot-v1-128k. Kimi models are commonly used for Chinese long-text reading, document Q&A, content generation and knowledge-base assistants.

Best for

Use Moonshot v1 128K for document uploads, report analysis, knowledge-base Q&A, Chinese long-form text and office assistants. Test context length, document understanding, Chinese summarization quality, cost and latency before production.

lightbulbUse cases

  • Chinese long-document analysis
  • Knowledge Q&A and summarization
  • Office assistants and content generation
  • Retrieval-augmented reading

thumb_upStrengths

  • Good fit for Chinese long-text tasks
  • Clear Kimi product positioning
  • Easy to tier by context length
  • Useful for document and knowledge products

infoLimitations

  • Cost and latency vary by context tier
  • Reasoning and coding need separate evaluation
  • Document quality depends on input format
  • Limits depend on Moonshot documentation

linkReferences

This content is compiled from official documentation and public sources. Always refer to official documentation for final details