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
41

Grok Build 0.1

xAI
Text & chatAdjustable thinkingWeb search grounding
$1 / $2256K tokensAPI only2View
42

DeepSeek V4 Pro

DeepSeek
Text & chatReasoningAdjustable thinking
1M tokensAPI onlyView
43

DeepSeek V4 Flash

DeepSeek
Text & chatVisionReasoning
1M tokensAPI onlyView
44

Qwen3.8 Max

Alibaba
Text & chatReasoningAdjustable thinking
$2 / $61M tokensAPI only6View
45

Qwen3 VL Plus

Alibaba
Text & chatVisionReasoning
$0.2 / $1.6256K tokensAPI only1.6View
46

Qwen3 VL Flash

Alibaba
Text & chatVisionReasoning
$0.05 / $0.4256K tokensAPI only0.4View
47

Qwen3.7 Flash

Qwen
Text & chatVisionVideo
$0.03 / $0.131M tokensAPI only0.13View
48

Qwen3.8 Flash

Qwen
Text & chatVisionVideo
$0.15 / $0.471M tokensAPI only0.47View
49

Claude Opus 4.6

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
50

Claude Opus 4.7

Anthropic
Text & chatVisionReasoning
$5 / $251M tokensAPI only25View
51

Qwen3.5-Flash

Qwen
Text & chatVisionVideo
$0.065 / $0.261M tokensAPI only0.26View
52

Qwen3.6 35B A3B

Qwen
Text & chatVisionVideo
$0.1 / $0.9262.1K tokensAPI only0.9View
53

Qwen3.5-35B-A3B

Qwen
Text & chatVisionVideo
$0.3125 / $1.25262.1K tokensAPI only1.25View
54

Qwen3.5-9B

Qwen
Text & chatVisionVideo
$0.1 / $0.15262.1K tokensAPI only0.15View
55

Grok 4.20

xAI
Text & chatVisionReasoning
$1.25 / $2.52M tokensAPI only2.5View
56

Qwen3 VL 32B Instruct

Qwen
Text & chatVisionReasoning
$0.104 / $0.416131.1K tokensAPI only0.416View
57

Qwen3 VL 235B A22B Instruct

Qwen
Text & chatVisionReasoning
$0.21 / $1.9262.1K tokensAPI only1.9View
58

Qwen3.6 Plus

Qwen
Text & chatVisionVideo
$0.325 / $1.951M tokensAPI only1.95View
59

Claude Opus 4.5

Anthropic
Text & chatVisionReasoning
$5 / $25200K tokensAPI only25View
60

Qwen3 VL 8B Instruct

Qwen
Text & chatVisionReasoning
$0.117 / $0.455262.1K tokensAPI only0.455View

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

Ratings 0

Avg. score 0

Rate this page

Help us improve