Adjustable thinking AI models: set the reasoning budget per request

Adjustable thinking
Services found: 79
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
1

Claude Fable 5.1

Anthropic
Text & chatVisionReasoning
$10 / $501M tokensAPI only50View
2

GPT-6.1 Sol

OpenAI
Text & chatVisionReasoning
$2 / $101.05M tokensAPI only10View
3

GPT-6 Sol

OpenAI
Text & chatVisionReasoning
$2 / $101.05M tokensAPI only10View
4

GPT-6 Luna

OpenAI
Text & chatVisionReasoning
$0.1 / $0.51.05M tokensAPI only0.5View
5

Claude Opus 5.5

Anthropic
Text & chatVisionReasoning
$4 / $201M tokensAPI only20View
6

Claude Sonnet 5.5

Anthropic
Text & chatVisionReasoning
$2 / $101M tokensAPI only10View
7

Grok 4.7

xAI
Text & chatVisionReasoning
$2 / $6500K tokensAPI only6View
8

DeepSeek V4.1 Flash

DeepSeek
Text & chatVisionReasoning
$0.3 / $1.21M tokensAPI only1.2View
9

Claude Opus 5

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
10

Claude Fable 5

Anthropic
Text & chatVisionReasoning
$10 / $501M tokensAPI only50View
11

Grok 4.6

xAI
Text & chatVisionReasoning
$2 / $6500K tokensAPI only6View
12

Claude Opus 4.8

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
13

Gemini 3.8 Flash

Google
Text & chatVisionAudio
$0.75 / $3.751.05M tokensAPI only3.75View
14

Qwen3.8 Max (0902)

Qwen
Text & chatVisionVideo
$2 / $61M tokensAPI only6View
15

Qwen3.8 2.4T A95B

Qwen
Text & chatReasoningAdjustable thinking
$2 / $61.05M tokensAPI only6View
16

Gemini 3.7 Flash

Google
Text & chatVisionAudio
$0.75 / $3.751.05M tokensAPI only3.75View
17

Grok 4.5

xAI
Text & chatVisionReasoning
$2 / $6500K tokensAPI only6View
18

Claude Sonnet 5

Anthropic
Text & chatVisionReasoning
$2 / $101M tokensAPI only10View
19

DeepSeek V4 Pro 0813

DeepSeek
Text & chatReasoningAdjustable thinking
$1.0494 / $3.14821.05M tokensAPI only3.148View
20

DeepSeek V4 Flash 0731

DeepSeek
Text & chatVisionReasoning
$0.065 / $0.181.31M tokensAPI only0.18View

Browse by need

Eighty-five models let you set how long the model deliberates before answering. Because thinking tokens bill as output, that dial is a direct cost control: the same model can be cheap and quick or slow and thorough depending on a single parameter.

The Claude family exposes it most clearly, and Grok, Qwen3 and DeepSeek V4 offer their own variants - DeepSeek switches between thinking and non-thinking modes outright. Set the dial per task rather than per application: minimal for classification and extraction, generous for architecture decisions and debugging.

Quality as a dialThe same model can be cheap and quick or slow and thorough on demand.
Per task, not per appExtraction wants minimal depth; architecture decisions want maximum.
Direct cost controlBecause thinking bills as output, the dial moves the invoice immediately.

Models with this capability

How to choose

  • Profile your task mix before fixing a default depth.
  • Use minimal settings for anything deterministic — parsing, routing, classification.
  • Reserve deep settings for ambiguous problems where a wrong answer is expensive.
  • Log which depth produced which outcome so the setting can be tuned with evidence.

Common mistakes

One global settingA single depth for every request overpays on easy work and underdelivers on hard work.
Turning thinking off entirelyOn genuinely hard tasks it costs more in retries than it saves in tokens.

Who this suits

Cost-sensitive productsFixed budgets with variable task difficulty.
Agent buildersCapping deliberation keeps multi-step runs from spiralling.
Mixed workloadsOne model serving both trivial and demanding requests.

Frequently asked questions

How does the dial save money?

Thinking tokens bill as output. A shallow setting on the same model can cost a fraction of a deep one.

Which models expose it?

The Claude family most clearly, plus Grok, Qwen3 and DeepSeek V4, which switches thinking off entirely.

Should it be set per app or per task?

Per task. Minimal for extraction and classification, generous for architecture decisions and debugging.

Which vendors expose the control?

Anthropic, xAI, Alibaba and DeepSeek, each with its own naming.

Is low depth the same as a smaller model?

No. A large model thinking briefly still brings its full knowledge to the answer.

Frequently searched

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