Extended Thinking
A model capability where the AI spends additional compute on internal reasoning before producing a visible response—effectively 'thinking longer' about complex problems. Extended thinking improves performance on tasks requiring multi-step logic, mathematical reasoning, code architecture decisions, and nuanced analysis. For agents, extended thinking is most valuable in high-stakes, accuracy-critical tasks: legal contract review, complex debugging, financial modeling, and strategic planning. The tradeoff is higher latency and token cost per response.
Written by Max Zeshut
Founder at Agentmelt · Last updated Oct 26, 2026
Frequently asked questions
- When should I enable extended thinking for my agent?
- Enable it for complex, accuracy-critical tasks where getting the right answer matters more than speed: contract analysis, code architecture, financial calculations, and multi-step planning. Disable it for routine tasks like classification, simple Q&A, and template-based responses where standard inference is fast and accurate enough.