Moonshot AI
Kimi K3.1 Pro
kimi-k3.1-pro-highspeed
Moonshot AI's flagship text model, focused on document understanding and long-context text generation, suitable for research and agent tasks
- Context window
- 1,048,576
- Input
- Max output
- 131,072 tokens
- Release date
- 2026-10-29
Pricing
kimi-k3.1-pro-highspeed /1M tokens
| Specifications | Unit Price |
|---|---|
| Input | $4.3096 |
| Cached input | $0.2156 |
| Output | $22.5426 |
Overview
Overview
kimi-k3.1-pro-highspeed is a text model route in Moonshot AI's Kimi K3.1 series designed for low-latency calls. It is available through the HiAPI.ai unified interface and billed per token. It targets developer scenarios that need frequent, fast text results, such as conversational Q&A, long-document summarization, and research material organization. If your needs center on text generation and understanding and you want to minimize waiting in interactive experiences, this route is the more suitable choice in the Kimi K3.1 family.
Key Highlights
- High-speed route for the same model — It belongs to the Kimi K3.1 family alongside kimi-k3.1-pro; the highspeed version is positioned for faster responses and suits interactive calls.
- Direct calls via a unified interface — It is integrated through HiAPI.ai's aggregated interface, so you can use the same calling method as other platform models without integrating with the vendor separately.
- Token-based billing — Billing is measured in tokens, making it easy to estimate costs by input and output volume and incorporate them into existing usage management processes.
Capabilities
General text generation and conversation: It handles conversational Q&A and routine text generation tasks, making it suitable as the language understanding and response layer in applications.
Long-text material processing: The Kimi series is known for long context and can be used for long-document reading, summarization, and material organization tasks.
Low-latency response route: The highspeed positioning targets interactive scenarios that require faster returns, making it suitable for call chains sensitive to response pacing.
Use Cases
- Developers building conversational Q&A applications — Take user questions as input and get natural-language answers that can be shown directly to end users, for customer service and assistant products.
- Researchers summarizing and organizing long documents — Input long reports or materials and produce summaries and key-point outlines for subsequent reading and secondary processing.
- Content teams generating text drafts — Input topics or outlines and produce editable text drafts for the upstream stage of content production workflows.
Limitations and Selection Guidance
This model supports only the text modality; input and output are primarily text, and multimodal inputs such as images and video are outside this route's capabilities. It is positioned as a high-speed text route. If a task requires greater output depth or complex reasoning, choose the standard version within the same family; if image or video understanding is needed, use a model that supports multimodality. Specific context length and quotas are subject to the platform's actual parameters.
Articles
View all articles →Related Models
View all models →Same Type
-
Claude 5.5 Anthropic $0.100 /1M tokens -
Claude 4.6 Anthropic $0.300 /1M tokens -
Claude 4.8 Anthropic $0.229 /1M tokens -
GPT 5.6 OpenAI $0.005 /1M tokens -
Kimi K3.1 Pro Moonshot AI $0.216 /1M tokens -
GLM 5.3 Zhipu AI $0.855 /1M tokens -
Kimi K3 Moonshot AI $0.232 /1M tokens -
GPT 6 OpenAI $0.0025 /1M tokens -
DeepSeek V4 DeepSeek $0.014 /1M tokens -
Grok 4 xAI $0.210 /1M tokens