moonshot-v1-128k

moonshot-v1-128k is a advanced-tier language model from Moonshot AI. moonshot-v1-128k is a proprietary model available exclusively through Moonshot AI's API. The Moonshot family is Moonshot AI's model series for this capability tier.

moonshot-v1-128k is priced at $0.8/1M input tokens and $3.2/1M output tokens. Output tokens are 4× more expensive than input tokens — this ratio reflects the sequential nature of autoregressive generation, which requires a separate forward pass per output token versus parallel processing of all input tokens simultaneously. At a typical usage pattern of 1,000 input tokens and 500 output tokens per call, moonshot-v1-128k costs approximately $2.40 per 1,000 API calls. Moonshot AI does not publish a prompt caching rate for this model, so repeated long contexts are billed at the standard $0.8/1M input rate.

Its 131K-token context window handles most long-document tasks — roughly 75,000 words or a full novel — without requiring chunking or retrieval augmentation. Median latency (P50 time-to-first-token) is approximately 700ms — suitable for interactive applications where sub-second response is acceptable. Throughput is approximately 110 tokens/second — adequate for streaming at comfortable reading speed. Maximum output length is 8K tokens — adequate for most generation tasks including essays, code functions, and detailed responses.

moonshot-v1-128k is best suited to chat, long-context. Supported capabilities include function calling / tool use for agentic workflows, streaming token output for real-time UIs. Function calling support makes it suitable for building AI agents, structured data extraction pipelines, and any workflow requiring the model to invoke external APIs or return typed JSON. When evaluating this model for a specific workload, the most important factors are: context window (does your input fit?), output price (how long are your generations?), and latency (is this interactive or batch?). The pricing table above shows how moonshot-v1-128k compares to similar models across these dimensions.

moonshot-v1-128k sits in the advanced tier — strong general-purpose models balancing capability and cost, suitable for most production applications. Unlike open-weights alternatives, moonshot-v1-128k is only available via Moonshot AI's API — there is no self-hosted option, which simplifies deployment but creates vendor dependency. When comparing moonshot-v1-128k to alternatives, use the similar models section on this page to find models at comparable price points with different capability tradeoffs. The intelligence score (65/100) reflects aggregate benchmark performance — a useful proxy for general capability, though real-world performance varies significantly by task type. Always test with your specific prompts and use case before committing to a model for production.