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OpenAI: o3 Deep Research vs OpenAI: o1-pro

Head-to-head API cost, context, and performance comparison. Synced at 3:01:25 PM.

Executive Summary

When evaluating OpenAI: o3 Deep Research against OpenAI: o1-pro, the pricing structure is a key differentiator. OpenAI: o3 Deep Research is approximately 93% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: o1-pro leads with a statistical ELO score of 1415. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: o1-pro, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: o3 Deep Research
OpenAI: o1-pro
Performance (ELO)
1415
1415
Input Cost / 1M
$10.00
$150.00
Output Cost / 1M
$40.00
$600.00
Context Window
200,000 tokens
200,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, OpenAI: o3 Deep Research wins out aggressively in pricing.

People Also Ask

Is OpenAI: o3 Deep Research cheaper than OpenAI: o1-pro?

Yes. OpenAI: o3 Deep Research is cheaper for both input and output generation compared to OpenAI: o1-pro. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

Both models offer an identical context window of 200,000 tokens.

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