Prompts for Kimi: structure + constraints

General prompt templates designed to keep outputs structured and practical.

Last updated: November 9, 2026 · Markdown version

What changes with this model

Even if prompt structure is similar, each model has biases: some follow strict instructions better, some are more creative, and some need examples. These templates are designed to reduce ambiguity and improve consistency.

Recommendation: define output format (ideally with a checklist), add constraints, and if you need precision, use few-shot or require strict JSON.

Strict JSON Few-shot Hallucinations

Current models Promptea supports

Data taken from each provider’s official documentation; every 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 tokens
Input / output: text, image, video / text
Latency: slower (deliberate)
Structured output: yes
Tool use / native search: yes / no

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 on September 24, 2026 · official source

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: — tokens
Input / output: text, image, video / text
Latency: balanced
Structured output: yes
Tool use / native search: yes / no

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 on September 24, 2026 · official source

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: — tokens
Input / output: text, image, video / text
Latency: balanced
Structured output: yes
Tool use / native search: yes / no

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 on September 24, 2026 · official source

Quick tips

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

Templates

Explain + example + pitfalls

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

Opens the analyzer with the prompt prefilled.

Open in Promptea

FAQ

Do templates differ by model?

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