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A preregistered study found that explicitly requesting 'high reasoning effort' in API calls for models like Sonnet 5 increases cost by ~$0.01 per call without a statistically significant accuracy improvement, meaning MENA enterprises may be paying more without measurable value.

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Study: 'Reasoning Effort' is a Model-Specific API Contract, Not a Free Parameter

What Happened?

FAQ

What is 'reasoning effort' in LLM API calls?

It's a parameter in API requests that controls how much computation the model performs before answering, often used to improve accuracy on complex tasks like math.

Is it worth paying extra for high reasoning effort?

According to this study on Sonnet 5 and AIME 2026 tasks, there's no statistical evidence of accuracy improvement, so it's advisable to test on your own workloads before committing to a costly contract.

How do these findings affect MENA enterprises?

Companies relying heavily on API calls (e.g., contact centers, analytics) may waste significant budgets without returns, so they should review 'reasoning effort' settings in their contracts.

What are the limitations of this study?

Results are bounded to Sonnet 5, AIME 2026 items, and the collection date (August 2026); they cannot be generalized to other models or tasks.

Source: arXiv cs.AI

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