Reasoning AI models: they think before answering, and bill for it
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 1 | Claude Fable 5.1 Anthropic | $10 / $50 | 1M tokens | API only | 50 | View | ||
| 2 | GPT-6 Astra OpenAI | $10 / $50 | 1.05M tokens | API only | 50 | View | ||
| 3 | GPT-6.1 Sol OpenAI | $2 / $10 | 1.05M tokens | API only | 10 | View | ||
| 4 | GPT-6 Sol OpenAI | $2 / $10 | 1.05M tokens | API only | 10 | View | ||
| 5 | GPT-6 Luna OpenAI | $0.1 / $0.5 | 1.05M tokens | API only | 0.5 | View | ||
| 6 | Claude Opus 5.5 Anthropic | $4 / $20 | 1M tokens | API only | 20 | View | ||
| 7 | Claude Sonnet 5.5 Anthropic | $2 / $10 | 1M tokens | API only | 10 | View | ||
| 8 | Grok 4.7 xAI | $2 / $6 | 500K tokens | API only | 6 | View | ||
| 9 | DeepSeek V4.1 Flash DeepSeek | $0.3 / $1.2 | 1M tokens | API only | 1.2 | View | ||
| 10 | Qwen3.8 Max Prime Qwen | $3.36 / $10.08 | 1M tokens | API only | 10.08 | View | ||
| 11 | GLM 5.3 FlashX Z.ai | $0.37 / $1.25 | 1M tokens | API only | 1.25 | View | ||
| 12 | Ember-1 Fireworks AI | $3 / $15 | 1.04M tokens | API only | 15 | View | ||
| 13 | Claude Opus 5 Anthropic | $5 / $25 | 1M tokens | API only | 25 | View | ||
| 14 | Claude Fable 5 Anthropic | $10 / $50 | 1M tokens | API only | 50 | View | ||
| 15 | GPT-5.6 Sol OpenAI | $4 / $20 | 1.05M tokens | API only | 20 | View | ||
| 16 | GLM 5.3 Z.ai | $1.4 / $4.4 | 1.31M tokens | API only | 4.4 | View | ||
| 17 | Grok 4.6 xAI | $2 / $6 | 500K tokens | API only | 6 | View | ||
| 18 | Kimi K3 Moonshot AI | $3 / $15 | 1.05M tokens | API only | 15 | View | ||
| 19 | GPT-5.6 Terra OpenAI | $2 / $12 | 1.05M tokens | API only | 12 | View | ||
| 20 | Claude Opus 4.8 Anthropic | $5 / $25 | 1M tokens | API only | 25 | View |
Browse by need
A reasoning model works through a problem before it answers, generating hidden thinking tokens along the way. Those tokens bill as output, which is why reasoning costs more than plain generation and why the price spread here - $0.25 to $50 per million - matters more than it looks.
169 models expose reasoning, including every current flagship: Claude Fable 5.1, GPT-6 Astra, Claude Opus 5. Use them for maths, multi-step analysis and code review. For lighter tasks a reasoning model is an expensive way to be slow. Filter for Adjustable thinking as well - 72 models let you cap how long the model deliberates.
Models with this capability
The 169 models below all support this capability. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Use reasoning where the first plausible answer is often wrong: maths, analysis, code review, planning.
- Prefer models with an adjustable depth control so you can tune cost per task.
- Watch output limits — deliberation plus answer can hit the max output ceiling on long tasks.
- Compare on your own hard cases, not on benchmark scores.
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