GPT‑5 Modes

What are GPT-5 modes and which should I use

Pick by task shape and review time. This page gives a quick answer, a decision table, copy-paste headers, role-based tips, troubleshooting, and one clear next step.

Table of contents

Quick Answer

  • Auto for simple or mixed tasks. Lets the system route, can deepen when signals require it.

  • Fast for ideas and first passes when speed matters.

  • Thinking for multi-step planning, tradeoffs, and careful reasoning.

  • Pro when rigor, tools, and persistence matter more than speed.

Which mode should I use

Decision table

Fast vs Thinking

  • Choose Fast when you want breadth and options to choose from.

  • Choose Thinking when you need a path with pros, cons, and risks.

  • Switch rule: if Fast outputs are thin on logic, move to Thinking for the next turn.

When to use Pro

Use Pro for audits, safety reviews, compliance checks, research synthesis, and tool-assisted workflows. Ask for assumptions, method, evidence, citations, and acceptance criteria before ending.

When to use Auto

Use Auto for familiar, low-risk tasks, and mixed work where you want routing without manual choice. Give clear signals in your header, for example: quick, one sentence, no tools, or high stakes, verify, acceptance criteria.

Copy-paste headers

Fast Header

One to two sentences. No tool calls. If unknown, say unknown.

Use this schema: {field_1, field_2, field_3}.

Thinking Header

Plan first in three bullets. Then execute.

Use sources A, B, C. Cite each claim.

Continue until all subtasks are complete.

Pro Header

You are an agent. Persist until fully resolved.

Emit brief progress notes.

Verify against acceptance criteria before ending.

Auto Nudge

High stakes. Minimize latency unless evidence conflicts.

If conflicts appear, switch to deeper reasoning and cite.

Best Mode for Coding

  • Fast for rough drafts, scaffolding, and naming ideas.

  • Thinking for stepwise planning, tradeoffs between approaches, and refactor plans.

  • Pro for strict formats, tool orchestration, tests, and CI notes.

Quick prompts

  • Fast

Goal: outline scaffolding. Task: draft file structure and 3 function stubs for {feature}. Keep it brief.

  • Thinking

Goal: choose an approach. Task: compare 3 options for {problem} with pros, cons, and risks. Recommend one and list next 3 steps.

  • Pro

Goal: implement with checks. Task: write {function} plus unit tests. Follow {style}. Output code blocks only. Include a test plan.

Best Mode for Analysis

  • Auto for quick summaries and simple column notes.

  • Thinking for methods, assumptions, and stepwise analysis plans.

  • Pro for reproducible steps, citations, and acceptance criteria on metrics.

Quick prompts

  • Auto

Goal: quick scan. Task: summarize key columns and obvious issues in this CSV. Keep it short.

  • Thinking

Goal: analysis plan. Task: propose method, assumptions, and steps to test {hypothesis}. Include risks and limitations.

  • Pro

Goal: reproducible analysis. Task: analyze {dataset} with method, evidence, and citations if relevant. State limitations and final decision.

Troubleshooting: Verbosity

  • Add a word limit and a schema line. Consider Fast for shorter outputs.

  • Header line to paste:

Keep replies under 120 words. Use this schema: {field_1, field_2, field_3}.

Troubleshooting: Citations

  • Require named sources and ask to cite each claim. Consider Thinking or Pro.

  • Header line to paste:

Use sources A, B, C. Cite each claim with a source note. If evidence is weak, say so.

Troubleshooting: Tool Calls

  • Move to Pro with acceptance criteria and dry runs.

  • Header line to paste:

Use tools only when needed. Run a dry test first. Emit progress notes. Verify against acceptance criteria before ending.

Frequently Asked Questions

Do I need a paid plan

You can apply these headers and prompts on both free and paid tiers. Paid tiers are usually faster and handle longer context.

What if my use case is niche?

Start with the closest mode and run the Quick test line. If the first output misses, switch modes once before editing.

How does this connect to your training

We teach a simple OS for daily work. Brief once, review with a short loop, and save winning patterns so you can reuse them.

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