Reasoning-focused model for complex planning and math tasks.
Model details →Best AI reasoning models
Reasoning models (o-series, Claude thinking, DeepSeek R1, Gemini Thinking) trade latency for quality on hard problems. Pricing reflects extra reasoning tokens.
Fast reasoning model optimized for cost/performance.
Model details →73Fit score
Reasoning-specialized model for difficult technical tasks.
Model details →Top 9 models for step-by-step reasoning
| # | Model | Provider | Context | Input price / 1M | Tier |
|---|---|---|---|---|---|
| 1 | o1 | OpenAI | 200K Long context (128K+) | Custom | Variable |
| 2 | o3-mini | OpenAI | 200K Long context (128K+) | Custom | Variable |
| 3 | DeepSeek R1 | DeepSeek | 128K Long context (128K+) | Custom | Variable |
| 4 | Claude Sonnet 4.6 | Anthropic | 1M Ultra context (1M+) | Custom | Variable |
| 5 | DeepSeek Chat (legacy id) | DeepSeek | 1M Ultra context (1M+) | Custom | Variable |
| 6 | DeepSeek Reasoner (legacy id) | DeepSeek | 1M Ultra context (1M+) | Custom | Variable |
| 7 | DeepSeek V4 Flash | DeepSeek | 1M Ultra context (1M+) | Custom | Variable |
| 8 | Claude Opus 4.7 | Anthropic | 1M Ultra context (1M+) | Custom | Variable |
| 9 | Claude 3 Opus | Anthropic | 200K Long context (128K+) | Custom | Variable |
Frequently asked questions
What is a reasoning model?
A model that produces internal reasoning tokens before its final answer. Useful for hard math, scientific problems, code planning, and agentic workflows where step-by-step logic matters.
Are reasoning models more expensive?
Usually yes — you pay for the hidden reasoning tokens too. The trade-off is much higher accuracy on hard problems.
Related use cases
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