Reasoning models
296 models that reason step by step before they answer, for math, code and multi-step problems.
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| OpenAI GPT-5.4 MiniOpenAIPrompt cachingJSON+3 | $3.60/1Mvia APIMart | 400K | $0.75/1M | $4.50/1M | 1412 | — | |
| OpenAI GPT-5.4 NanoOpenAIPrompt cachingJSON+3 | $1/1Mvia APIMart | 400K | $0.20/1M | $1.25/1M | 1372 | — | |
| OpenAI GPT-5.4 ProOpenAIJSONReasoning+2 | $144/1Mvia APIMart | 1.05M | $30/1M | $180/1M | — | — | |
| OpenAI GPT-5.5OpenAIPrompt cachingJSON+3 | $24/1Mvia APIMart | 1.05M | $5/1M | $30/1M | 1513 | — | |
| OpenAI o1OpenAIPrompt cachingJSON+3 | $48/1Mvia APIMart | 200K | $15/1M | $60/1M | 1366 | — | |
| OpenAI o3OpenAIPrompt cachingJSON+3 | $6.40/1Mvia APIMart | 200K | $2/1M | $8/1M | 1410 | — | |
| OpenAI o3 miniOpenAIPrompt cachingJSON+2 | $3.52/1Mvia APIMart | 200K | $1.10/1M | $4.40/1M | 1337 | — | |
| Perceptron Mk1PerceptronJSONReasoning+1 | $1.50/1Mvia OpenRouter | 33K | $0.15/1M | $1.50/1M | — | — | |
| Perceptron Mk1.5PerceptronJSONReasoning+2 | $1.50/1Mvia OpenRouter | 37K | $0.15/1M | $1.50/1M | — | — | |
| $8/1Mvia FastRouter | 128K | $2/1M | $8/1M | — | — | ||
| $1.38/1Mvia Alibaba | 33K | $0.345/1M | $1.38/1M | 1282 | — | ||
| $0.60/1Mvia Hugging Face | 128K | $0.20/1M | $0.60/1M | — | — | ||
| $2.30/1Mvia Hugging Face | 262K | $0.23/1M | $2.30/1M | — | — | ||
| $1.43/1Mvia Ofox | 262K | $0.36/1M | $1.43/1M | 1413 | — | ||
| $3.38/1Mvia AIHubMix | 262K | $0.846/1M | $3.38/1M | 1439 | — | ||
| $1.20/1Mvia OpenRouter | 262K | $0.15/1M | $1.20/1M | — | — | ||
| $3.95/1Mvia DevPass (LLM Gateway) | 131K | $0.98/1M | $3.95/1M | — | — | ||
| $0.389/1Mvia SiliconFlow | 262K | $0.097/1M | $0.389/1M | — | — | ||
| $1.37/1Mvia AIHubMix | 262K | $0.143/1M | $1.43/1M | — | — | ||
| $0.901/1Mvia AIHubMix | 262K | $0.40/1M | $3.20/1M | 1418 | — | ||
| $0.26/1Mvia OpenRouter | 1M | $0.029/1M | $0.287/1M | 1397 | — | ||
| $0.658/1Mvia AIHubMix | 1M | $0.115/1M | $0.688/1M | — | — | ||
| $0.823/1Mvia APIMart | 1M | $0.165/1M | $0.99/1M | — | — | ||
| $9.98/1Mvia CometAPI | 256K | $1.66/1M | $9.98/1M | 1482 | — | ||
| $1.37/1Mvia APIMart | 1M | $0.276/1M | $1.65/1M | 1462 | — | ||
| $0.091/1Mvia APIMart | 1M | $0.028/1M | $0.11/1M | — | — | ||
| $6/1Mvia Charm Hyper | 262K | $2/1M | $6/1M | — | — | ||
| Reka Flash 3Reka AIJSONReasoning | $0.20/1Mvia OpenRouter | 66K | $0.10/1M | $0.20/1M | — | — | |
| $2.19/1Mvia AIHubMix | — | $0.548/1M | $2.19/1M | — | — | ||
| $0.544/1Mvia AIHubMix | — | $0.136/1M | $0.544/1M | — | — | ||
| $1.10/1Mvia ZenMux | 262K | $0.132/1M | $1.10/1M | — | — | ||
| $4/1Mvia OpenRouter | 262K | $0.95/1M | $4/1M | — | — | ||
| SSao10K Stheno 8bSao10KCC BY-NC 4.0Reasoning | $0.05/1Mvia Hugging Face | 8K | $0.05/1M | $0.05/1M | — | — | |
| $0.16/1Mvia FastRouter | 128K | $0.04/1M | $0.16/1M | — | — | ||
| $0.285/1Mvia APIYI | 262K | $0.114/1M | $0.285/1M | — | — | ||
| $0.30/1Mvia APIYI | 262K | $0.075/1M | $0.30/1M | — | — | ||
| $1.67/1Mvia CometAPI | 256K | $0.50/1M | $2.50/1M | — | — | ||
| $3.33/1Mvia CometAPI | 256K | $0.667/1M | $3.33/1M | — | — | ||
| $0.534/1Mvia AIHubMix | 256K | $0.20/1M | $0.534/1M | — | — | ||
| $0.60/1Mvia OpenRouter | 131K | $0.15/1M | $0.60/1M | — | — | ||
| $15/1Mvia OpenRouter | 200K | $3/1M | $15/1M | — | — | ||
| $8/1Mvia FastRouter | 128K | $2/1M | $8/1M | — | — | ||
| $0.292/1Mvia SiliconFlow | 256K | $0.097/1M | $0.292/1M | — | — | ||
| $0.925/1Mvia APIMart | 262K | $0.154/1M | $0.925/1M | — | — | ||
| $2.70/1Mvia Deep Infra | 1.05M | $1/1M | $2.70/1M | 1568 | — | ||
| $0.62/1Mvia Hugging Face | 66K | $0.62/1M | $0.62/1M | — | — |
Frequently asked questions
A model trained to work through a problem in intermediate steps, often called thinking, before it answers. It does better on math, coding and planning, at the cost of more tokens and slower replies.
The thinking steps are billed as output tokens, so one answer can use many times the tokens of a direct reply. Compare output prices, and check whether the model lets you limit or switch off its reasoning.
For short lookups, classification, extraction or chat, a regular model is faster and cheaper with little loss in quality. Keep reasoning for problems that really need several steps.
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