# Prompts for GPT: structure first, ambiguity last

> Reusable GPT prompt templates: clear constraints, formats, and iteration loops.

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

## Quick tips

- Put the instruction first, then context, then output format.
- Use delimiters for long context (\"\"\" ... \"\"\").
- Ask for questions first if info is missing.

## Current models Promptea supports

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

### GPT-6 Astra (default)

OpenAI's most capable model (GPT-6, Sep 2026) for the hardest end-to-end work. It needs less step-by-step instruction than earlier GPTs: give it the goal, constraints, and permissions, and let it carry the task through.

- Context window: 1.05M tokens · max output: 128K
- Input: text, image · output: text
- Latency: slower (deliberate) · structured output: yes · tool use: yes · native search: yes
- Strengths: reasoning, coding, writing, long context, multimodal
- How to prompt it: Prefer the goal and constraints over step lists — overly specific guidance now hurts results. Tell it to bias toward action and finish the task, grant explicit permissions (run tests and fix failures without asking), and ask for prose if you don't want lists. It has no 'none' effort: use 'low' as the floor.
- Verified: 2026-09-24 — [source](https://developers.openai.com/api/docs/models/gpt-6-astra)

### GPT-6.1 Sol

OpenAI's current Sol model (2026-09-29): near-Astra performance for complex coding, computer use, and professional work at a lower cost. OpenAI suggests comparing it with Astra on your tasks to weigh quality against cost.

- Context window: 1.05M tokens · max output: 128K
- Input: text, image · output: text
- Latency: balanced · structured output: yes · tool use: yes · native search: yes
- Strengths: reasoning, coding, writing, long context
- How to prompt it: OpenAI publishes no 6.1 Sol–specific prompting rules: start from the GPT-6 family guidance (goal, constraints, and an exact output format, each instruction stated once). Effort runs low to max (default medium); 'none' and 'minimal' aren't supported, so 'low' is the floor. Tool calling requires the Responses API.
- Verified: 2026-10-09 — [source](https://developers.openai.com/api/docs/models/gpt-6.1-sol)

### GPT-6 Luna

The most efficient GPT-6 model, for focused, high-volume tasks. Prefer short, ordered steps and one example of the expected result.

- Context window: 1.05M tokens · max output: 128K
- Input: text, image · output: text
- Latency: fast · structured output: yes · tool use: yes · native search: yes
- Strengths: speed, writing
- How to prompt it: Keep prompts compact: short ordered steps, one example of the expected result, and an explicit output format. For genuinely hard tasks escalate to Sol or Astra rather than raising Luna's effort.
- Verified: 2026-09-24 — [source](https://developers.openai.com/api/docs/models/gpt-6-luna)

## Templates

### Clear answer + format

```text
Goal: [what you want]
Context: [key facts]
Output format: bullet list with headings.
If info is missing, ask up to 3 questions first.
```

[Open in Promptea](https://www.promptea.me/en/analyzer?prompt=Goal%3A+%5Bwhat+you+want%5D%0AContext%3A+%5Bkey+facts%5D%0AOutput+format%3A+bullet+list+with+headings.%0AIf+info+is+missing%2C+ask+up+to+3+questions+first.&purpose=text&target=gpt)

### Decision memo

```text
Write a decision memo.
Options: [A, B, C]
Constraints: [budget/time]
Return:
- recommendation
- pros/cons per option
- risks
- next steps
```

[Open in Promptea](https://www.promptea.me/en/analyzer?prompt=Write+a+decision+memo.%0AOptions%3A+%5BA%2C+B%2C+C%5D%0AConstraints%3A+%5Bbudget%2Ftime%5D%0AReturn%3A%0A-+recommendation%0A-+pros%2Fcons+per+option%0A-+risks%0A-+next+steps&purpose=text&target=gpt)

## Frequently asked questions

### How do I reduce generic answers?

Force an output structure and add constraints. Without constraints, the model fills gaps with generic advice.