Will GPT-6 Reasoning Effort Lower AI Costs for SMEs?

A new slider in GPT-6 — reasoning effort — allows you to decide how much the model 'thinks' about your task. It sounds technical, but the impact is straightforward: cost and quality. I’ll show you when to raise the slider, when to lower it, and how to calculate the cost of a successful task in just 10 minutes.

Reasoning Effort — What It Means in Practice

Reasoning effort is a setting (slider) that tells the model how much to think before responding. A higher setting means more steps of thought; a lower setting means quicker, simpler shortcuts. It’s like giving an employee 2 minutes versus 15 minutes to solve the same issue.

A prompt is simply a command for AI (text with instructions). As reasoning effort increases, the model can take more 'notes in its head' — internal steps that you don’t always see. This usually helps with complex tasks but increases cost and wait time.

• Low effort: faster and cheaper; good for routine tasks.
• Medium effort: a balance of speed and quality.
• High effort: greater accuracy for complex issues; slower and more expensive.

How to Calculate Cost: Focus on the Cost of a Successful Task

Instead of looking at the price of a single call, calculate the cost of a successful task. A task could be, for example, responding to an email without corrections or summarizing a conversation in a CRM (Customer Relationship Management tool) that was approved by a manager.

The formula is simple: cost of a successful task = total cost of queries for that task divided by the number of tasks completed correctly on the first try. Also, consider the time taken to close the task, as speed often has value.

Here’s a simplified example with made-up numbers: at low effort, you pay $0.20 and 70% of tasks are okay, so the cost of a successful task is about $0.29. At medium effort, you pay $0.35 and have a 90% success rate, so the cost is about $0.39. Low wins — if errors don’t hurt the business. But if a human correction costs $5 and takes 3 minutes, the math can flip. In complex cases, higher effort can be cheaper overall, as it reduces the number of corrections and 'ping-pong' emails.

• Add to your spreadsheet: cost of human correction ($/piece).
• Time to handle the task (minutes) and the value of the team's time ($/hour).
• Number of retries (how many times AI tried).

When to Increase and When to Decrease — Thresholds for SMEs

Raise the slider when an error is costly (e.g., a complaint, a contract), the context is scattered (multiple attachments, a long thread), or when you need to connect facts and calculate (root cause analysis, forecasting).

Keep it low or medium for simple categorization (tagging in CRM, routing an email), rigid templates, and short summaries from a single source.

• Test 3 questions: 1) Will an error be costly or damaging to reputation? 2) Is the context coming from more than 2 sources? 3) Does it require a chain of decisions or several steps to calculate? 0x YES = low, 1x YES = mid
• 2-3x YES = high.
• Examples:
• - Emails: confirming a date — low; negotiating a discount — high.
• - CRM: tagging a lead — low; summarizing a 30-minute conversation — medium/high.
• - Reports: list of invoices — low; sales variance analysis — high.

Mini ROI Calculator in 10 Minutes (No Coding Required)

Take 30 real cases from the last week and define what 'OK without corrections' means (e.g., approval from a manager in CRM).

Run them through an automation tool with three levels of effort. If your tool has a reasoning effort slider — use it. If not, prepare two prompts: a quick one (short, without elaboration) and a detailed one (ask for step-by-step consideration). The cost effect will be similar: more thinking = slower and more expensive, but often more accurate.

Record for each level: cost, time, percentage of corrections. Calculate the cost of a successful task and the cost with human correction. Set low by default, and in the rules, add escalation: if words like 'complaint', 'contract', 'delay' appear — restart with high effort.

• Pro tips:
• - Limit high effort to 10-20% of the highest value cases.
• - Set limits: max 2 attempts, then a human.
• - Shorten responses and remove unnecessary quotes from emails.
• - Each month, compare a sample of 50 cases before/after the change.

Reasoning effort is a lever for cost and quality. Used selectively, it can lower overall service costs by reducing corrections where they are most expensive. Want to calculate this for your processes and pricing? Schedule a short consultation — we’ll walk through the mini calculator with your data.