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Reasoning models

Models with a reasoning or thinking mode: they work through a problem in extra tokens before they answer.

42 modelsData checked October 10, 2026

Reasoning models trade speed and tokens for accuracy on multi-step problems such as math, planning, tricky code and analysis. Most let you set an effort level, so you pay for deep thinking only when the task needs it.

Reasoning tokens are usually billed as output tokens, and output is the expensive side of the bill. A hard question can cost several times a direct answer, so measure accuracy gained per dollar on your own tasks.

The shortlist

ModelTierWeightsContextInput / 1MOutput / 1MInputs
DeepSeek-V4-ProDeepSeekFrontierOpen weights1M$1.32$3.96Text
GLM-5.3Z.ai (Zhipu AI)FrontierOpen weights1M$1.40$4.40Text
Grok 4.7xAIFrontierClosed500K$2$6Text, Images
Qwen3.8-MaxAlibaba (Qwen)FrontierClosed1M$2$6Text, Images
Qwen3.8-2.4T-A95BAlibaba (Qwen)FrontierOpen weights256K$2$6Text
Kimi K3Moonshot AIFrontierOpen weights1M$3$15Text, Images, Video
Claude Opus 5.5AnthropicFrontierClosed1M$4$20Text, Images, PDF
Claude Fable 5.1AnthropicFrontierClosed1M$10$50Text, Images, PDF
GPT-6 AstraOpenAIFrontierClosed1.05M$10$50Text, Images
gpt-oss-120bOpenAIAdvancedOpen weights128K$0.15$0.60Text
DeepSeek-V4.1-FlashDeepSeekAdvancedOpen weights1M$0.30$1.20Text, Images
MiniMax-M3MiniMaxAdvancedOpen weights1M$0.30$1.20Text, Images, Video
NVIDIA Nemotron 3 UltraNVIDIAAdvancedOpen weights1M$0.50$2.20Text
Gemini 3.8 FlashGoogleAdvancedClosed1M$0.75$3.75Text, Images, Video, Audio, PDF
Gemini 3.6 FlashGoogleAdvancedClosed1M$0.75$3.75Text, Images, Video, Audio, PDF
Mistral Medium 3.5Mistral AIAdvancedOpen weights256K$1.50$7.50Text, Images
Claude Sonnet 5.5AnthropicAdvancedClosed1M$2$10Text, Images, PDF
GPT-6.1 SolOpenAIAdvancedClosed1.05M$2$10Text, Images
Claude Haiku 5.5AnthropicEfficientClosed1M$0.10$0.50Text, Images, PDF
GPT-6 LunaOpenAIEfficientClosed1.05M$0.10$0.50Text, Images
GLM-5.3-FlashZ.ai (Zhipu AI)EfficientOpen weights1M$0.15$0.50Text, Images, Video
Gemma 4 31BGoogleEfficientOpen weights256K$0.20$0.40Text, Images, Video
Mistral Small 4Mistral AIEfficientOpen weights256K$0.15$0.60Text, Images
Granite 4.2 30BIBMEfficientOpen weights128K$0.16$0.65Text
Gemini 3.1 Flash-LiteGoogleEfficientClosed1M$0.25$1.50Text, Images, Video, Audio, PDF
Muse Glimmer 30BMetaEfficientOpen weights128K$0.35$1.50Text, Images, Video
Gemini 3.5 Flash-LiteGoogleEfficientClosed1M$0.30$2.50Text, Images, Video, Audio, PDF
Grok 4.3xAIEfficientClosed1M$1.25$2.50Text, Images
Qwen3.8-27BAlibaba (Qwen)EfficientOpen weights256K$0.80$4Text, Images, Video
Amazon Nova 2 LiteAmazon (AWS)EfficientClosed1M——Text, Images, Video, PDF
Olmo 3.1 32B ThinkAi2 (Allen Institute for AI)EfficientOpen weights64K——Text
NVIDIA Nemotron 3.5 Lightning 30B-A3BNVIDIACompactOpen weights1M$0.05$0.20Text
Granite 4.2 8BIBMCompactOpen weights128K$0.06$0.25Text
gpt-oss-20bOpenAICompactOpen weights128K$0.075$0.30Text
Gemma 4 26B A4BGoogleCompactOpen weights256K$0.07$0.34Text, Images, Video
Qwen3.6-35B-A3BAlibaba (Qwen)CompactOpen weights256K$0.10$0.95Text, Images, Video
Gemma 4 E4BGoogleCompactOpen weights128K——Text, Images, Audio, Video
Phi-4-reasoning-vision-15BMicrosoft (Phi)CompactOpen weights16K——Text, Images
Mistral Large 4Mistral AIFrontierClosed1M$1.36$4.18Text, Images
Gemini 3.1 ProGoogleFrontierClosed1M$2$12Text, Images, Video, Audio, PDF
Muse Spark 1.3MetaAdvancedClosed1M$1.25$4.25Text, Images, Video, PDF
Grok Build 0.1xAIEfficientClosed250K$1$2Text, Images

Ordered by status, capability tier and then price. Tiers are our editorial grouping of provider positioning and public benchmark standings, not our own test results. How we rank.

How to choose

  • Use high effort for hard, high-value questions and low or no reasoning for routine ones.
  • Set a budget for thinking tokens where the API supports it.
  • Ask for the final answer in a structured format so it's easy to validate.
  • Prompting advice differs for reasoning models; see the prompt engineering guide.

Frequently asked questions

What is a reasoning model?

A reasoning model is trained to produce an internal chain of reasoning before its final answer, often with reinforcement learning on problems that have checkable answers. It tends to do better on math, logic, planning and complex code, at the cost of more tokens and latency.

Are reasoning tokens billed?

On most APIs, yes: thinking tokens count as output tokens even when you don't see them. Check each provider's pricing page and set an effort level or thinking budget to control cost.

Other shortlists

Still choosing a model?

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