Price, context and performance head to head. Data current as of April 2026.
Cheaper
Tied
Larger context
o3
Faster
Tied
Higher quality
Tied
| Feature | o3 | Sonar Reasoning Pro |
|---|---|---|
| Provider | OpenAI | Perplexity |
| Tier | Reasoning | Reasoning |
| Input per 1M tokens | $2 | $2 |
| Output per 1M tokens | $8 | $8 |
| Cached input per 1M | $0.5 | $0.2 |
| Context window | 200K | 128K |
| Speed | Slow | Slow |
| Vision (image input) | Yes | No |
| Function calling | Yes | No |
| Batch API | Yes | No |
Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.
Both models cost roughly the same
Want us to build it for you?
We integrate o3 or Sonar Reasoning Pro into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.
Other combinations developers frequently compare in 2026.
What people ask us when comparing GPT, Claude, Gemini and the rest.
A token is the unit an AI model processes: usually between half a word and a full word. Rule of thumb: 1,000 tokens ≈ 750 English words. A 20-word sentence is about 26 tokens; a 300-word email is around 400. Models charge for input tokens (your prompt) and output tokens (their answer) separately.
