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.

starsCapabilities

codeFunction callingdata_objectStructured output

paymentsContext and pricing

Context limit131,072
Max output
Input price¥10/ 1M tokens
Output price¥30/ 1M tokens

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