GlossaryModelsIntermediate

Extended thinking

Also written: Extended thinking mode, Open-ended thinking

AI models show intermediate reasoning steps to solve complex problems.

In plain terms

Extended thinking is a feature that allows AI models to pause and write down their thought process before giving a final answer. This is especially helpful for difficult tasks that require multiple steps or complex logic.

Think of it like a student showing their work on a math problem. Instead of just giving the answer, the AI lays out each step it took to get there. This helps the AI solve the problem more accurately and can also help users understand how the AI arrived at its conclusion.

The expert version

Extended thinking refers to a capability where an AI model explicitly generates intermediate reasoning steps or a scratchpad of its thought process before producing a final output. This mechanism is employed to decompose complex problems, maintain coherence over longer reasoning chains, and improve accuracy on tasks requiring multi-step deduction or planning. It can be seen as a form of internal deliberation or explicit chain-of-thought generation that is made visible to the user or system.

Why it matters now

Recent updates from Google Gemini and Anthropic highlight features for more complex AI reasoning. These advancements allow models to break down problems, show intermediate steps, or dedicate more processing time to difficult tasks, improving overall problem-solving capabilities.

Where it shows up 6 items, newest first
How each company uses it
Anthropic Claude
Anthropic's Claude models use a 'think' tool and recommend 'extended thinking' for better complex reasoning and integration of AI applications.
Google Gemini
Google Gemini offers advanced thinking levels and an 'extended thinking' quickstart for its API, allowing users to configure deeper reasoning in notebooks.
Related terms

Chain of ThoughtScratchpadReasoningProblem SolvingAI AgentsTool Use

Often confused with
Chain of Thought
A technique where models generate intermediate reasoning steps
Scratchpad
A temporary storage area for intermediate computations or thoughts,
Self-reflection
A process where AI reviews its own output or reasoning, which c
Origin

The concept of models showing intermediate reasoning steps, often referred to as Chain of Thought, gained prominence with research into improving LLM reasoning abilities. Anthropic has specifically termed a feature for this 'extended thinking'. Source ↗

Try this about 5 minutes

When using a capable AI like Claude, try asking it to solve a multi-step math problem or a logic puzzle. You can often prompt it to 'think step-by-step' or 'show your work' to observe its extended thinking process in action.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

Does extended thinking make the AI slower?
Yes, generating intermediate reasoning steps typically takes more time and computational resources than providing a direct answer, potentially slowing down the response.
Can extended thinking be turned off?
Often, yes. Depending on the AI model and interface, users may have options to enable or disable features that encourage or require extended thinking.

First seen on Subvolts Aug 14, 2025. Updated Oct 5, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.