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Concept延展思考 / 扩展思考模式 / Extended Thinking模式

Extended Thinking

A capability that enables a model to perform additional chain-of-thought reasoning before producing a final answer. It represents a productized evolution of Chain-of-Thought techniques and has been made available as a differentiated feature by multiple AI vendors.

Core Facts

Timeline (last 90 days)

Oct 9

Effort setting is an adjustment knob introduced by Anthropic in the extended thinking feature, allowing users to specify how much compute the model invests in internal reasoning before generating a response.

Unverified50%
Oct 9

Extended Thinking mode increases latency, and it is officially recommended to disable this mode for simple everyday questions to achieve the fastest output

Unverified50%
Oct 5

Effort tiering is a reasoning budget control mechanism introduced by Anthropic for the Claude 3.7 series, specifying the reasoning token upper limit via the budget_tokens field of the thinking parameter.

Unverified50%
Oct 1

After enabling Extended Thinking in the Claude series, token consumption per request can be several times that of normal mode.

Unverified50%
Sep 28

Blindly raising the thinking effort parameter does not necessarily yield better results and may instead cause resource waste and task failure.

Unverified50%
Sep 21

Full chain-of-thought reasoning requires generating a large number of tokens, which is extremely demanding on computing resources.

Unverified50%
Sep 17

Anthropic Claude's Extended Thinking feature explicitly requires that reasoning content must be passed back in multi-turn conversations, otherwise an error is returned.

Unverified50%
Sep 16

In the Arkham Banking benchmark, Gemini 3.8 Live with Extended Thinking mode enabled scored 35.1%, ranking first

Expired50%
Sep 16

Traditional extended thinking often comes at the cost of increased latency, creating tension with the low-latency requirements of voice scenarios

Unverified50%
Sep 16

The Extended Thinking version of Gemini 3.8 Live incorporates a more thorough thinking process before voice responses, making it suitable for complex reasoning scenarios, while the standard version places greater emphasis on response speed.

Verified75%

5 more timeline events

All Facts (19)

Verified

Claude 3.7 Sonnet features extended thinking functionality, allowing the model to engage in deeper, longer thinking before responding.

90%
Verified

When Claude's Extended Thinking feature is enabled, the model outputs an internal reasoning process (a thinking block) before generating the final response; this reasoning is visible to the user but is not counted as part of the conversation context.

80%
Verified

The Extended Thinking version of Gemini 3.8 Live incorporates a more thorough thinking process before voice responses, making it suitable for complex reasoning scenarios, while the standard version places greater emphasis on response speed.

75%
Verified

Reasoning models perform internal Chain-of-Thought before returning final results, consuming large amounts of tokens and computation time in exchange for deeper understanding and lower error rates.

75%
Verified

Excessive upfront thinking incurs increased latency and computational costs, which may not be worthwhile in scenarios that prioritize response speed.

75%
Verified

Extended thinking mode causes the model to perform an explicit internal reasoning chain before output, at the cost of significantly increased token consumption, with reasoning tokens typically billed at a higher rate.

65%
Unverified

Claude Opus 4属于推理增强型模型,处理复杂任务时会启动扩展思维链(Extended Thinking),单次复杂推理的算力成本可达普通模型的20-50倍

70%
Unverified

The Extended Thinking feature requires passing a thinking parameter object in the API request, specifying type: 'enabled' and budget_tokens to control the depth of reasoning.

60%
Unverified

Effort setting is an adjustment knob introduced by Anthropic in the extended thinking feature, allowing users to specify how much compute the model invests in internal reasoning before generating a response.

50%
Unverified

Extended Thinking mode increases latency, and it is officially recommended to disable this mode for simple everyday questions to achieve the fastest output

50%
Unverified

Effort tiering is a reasoning budget control mechanism introduced by Anthropic for the Claude 3.7 series, specifying the reasoning token upper limit via the budget_tokens field of the thinking parameter.

50%
Unverified

After enabling Extended Thinking in the Claude series, token consumption per request can be several times that of normal mode.

50%
Unverified

Blindly raising the thinking effort parameter does not necessarily yield better results and may instead cause resource waste and task failure.

50%
Unverified

Full chain-of-thought reasoning requires generating a large number of tokens, which is extremely demanding on computing resources.

50%
Unverified

Anthropic Claude's Extended Thinking feature explicitly requires that reasoning content must be passed back in multi-turn conversations, otherwise an error is returned.

50%
Unverified

Traditional extended thinking often comes at the cost of increased latency, creating tension with the low-latency requirements of voice scenarios

50%
Unverified

Although the reasoning tokens produced by Claude's Extended Thinking mode are not visible to users (marked as thinking_content at the API layer), they still undergo the full Decode process and are billed at the output price.

50%
Unverified

For mechanical tasks such as format conversion and simple renaming, it is recommended to directly disable thinking mode to eliminate unnecessary Decode costs.

50%
Unverified

Opus 5 enables Extended Thinking by default; thinking can only be disabled at effort levels of high or below, and the official guidance strongly recommends not disabling thinking.

50%

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