# Prompts for Kimi: structure + constraints

> General prompt templates designed to keep outputs structured and practical.

Source: Promptea — https://www.promptea.me/en/models/kimi · Language: English · Last updated: 2026-11-09

## Quick tips

- Use a fixed output structure (headings, bullets, steps).
- Add constraints and acceptance criteria.
- Ask for questions if critical info is missing.

## Current models Promptea supports

Capabilities come from the provider’s official documentation; each entry shows the date it was last verified.

### Kimi K3 (default)

The most capable Kimi and Moonshot's recommendation for general use (1M context; text, image, and video). Always reasons; built for software engineering, knowledge work, and deep reasoning.

- Context window: 1.05M tokens · max output: 131K
- Input: text, image, video · output: text
- Latency: slower (deliberate) · structured output: yes · tool use: yes · native search: no
- Strengths: reasoning, long context, multimodal, coding
- How to prompt it: Always reasons: reasoning_effort low, high, or max (default max) — decide it up front, since changing it mid-session breaks caching. Temperature can no longer be set. Clearly separate source material from instructions and, for JSON, define the fields and an example object.
- Verified: 2026-09-24 — [source](https://platform.kimi.ai/docs/models)

### Kimi K2.6

General-purpose multimodal Kimi (text, image, and video input; thinking and non-thinking modes). Split source vs instructions and mark priorities.

- Context window: 262K tokens · max output: —
- Input: text, image, video · output: text
- Latency: balanced · structured output: yes · tool use: yes · native search: no
- Strengths: long context, multimodal, writing
- How to prompt it: Choose thinking vs instant mode explicitly per task; temperature is now fixed (1.0 thinking, 0.6 instant) and can't be changed. Use Partial Mode to enforce format, JSON Mode with fields and an example (it is unstable with complex schemas), and split source text from instructions.
- Verified: 2026-09-24 — [source](https://platform.kimi.ai/docs/models)

### Kimi K2.7 Code

Agentic-coding-specialized Kimi with reliable instruction following in long contexts. Natural pairing with the Kimi Code CLI.

- Context window: 262K tokens · max output: —
- Input: text, image, video · output: text
- Latency: balanced · structured output: yes · tool use: yes · native search: no
- Strengths: coding, speed
- How to prompt it: Treat it as an agent-loop coding model: give repo context, concrete acceptance criteria, and test commands, and let it iterate with tools rather than one-shotting. Pass reasoning_content back in full on every turn (required).
- Verified: 2026-09-24 — [source](https://platform.kimi.ai/docs/models)

## Templates

### Explain + example + pitfalls

```text
Teach me: [topic]
Return:
- intuition
- formal definition
- worked example
- common pitfalls
- 5 practice questions
```

[Open in Promptea](https://www.promptea.me/en/analyzer?prompt=Teach+me%3A+%5Btopic%5D%0AReturn%3A%0A-+intuition%0A-+formal+definition%0A-+worked+example%0A-+common+pitfalls%0A-+5+practice+questions&purpose=study&target=kimi)

## Frequently asked questions

### Do templates differ by model?

Core structure is the same. What changes is how strict you must be about format and validation.