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AI Reasoning Effort Levels: Low, Medium, High and Max Explained

By InnovaAI Research2 min readDatanorth

Major AI platforms including ChatGPT, Claude, Qwen, and Grok now expose a reasoning effort setting that controls how long the model thinks before responding. Choosing the right level directly affects output quality, response time, and the cost efficiency of AI-assisted work at agencies.

Key Facts

01ChatGPT, Claude, Qwen, and Grok all expose a reasoning effort setting with tiers from low to max.
02Higher effort tiers consume more tokens and increase response latency, raising costs for programmatic API use.
03Low effort suits fast, simple tasks; max effort is appropriate for complex strategic or multi-variable problems.
04Agencies building automated AI pipelines in tools like Make, Zapier, or Voiceflow need to set effort levels intentionally per use case.
05A documented internal effort-level guide per task type is the most immediate operational improvement agencies can make.

Why does this matter for agencies?

▶Defaulting every AI task to the same effort tier either wastes cost on simple work or under-delivers on complex client deliverables.
▶Programmatic workflows built on AI APIs accumulate significant token costs when effort levels are not tuned to the actual task complexity.
▶Client-facing AI agents require different effort configurations than internal drafting tools, and conflating the two reduces both quality and speed.
▶Effort level awareness will increasingly separate agencies that operate AI efficiently from those that treat it as a black box.

What should agencies do?

Create a shared internal reference mapping common task types (caption writing, campaign briefs, proposal drafts, chatbot responses) to the appropriate effort level in each AI platform your team uses, and review it quarterly.

low effort

Audit effort level settings inside any automated AI workflows built in Make, Zapier, n8n, or Voiceflow, and adjust each node to match the complexity of its specific task.

medium effort

Brief account and strategy teams on the difference between high and max effort tiers so they can request the appropriate setting when using AI for client-critical deliverables like campaign architectures or pitch decks.

low effort