OpenAI: o3 Deep Research vs Google: Gemini 3.1 Pro Preview Custom Tools
Head-to-head API cost, context, and performance comparison. Synced at 11:22:55 AM.
Executive Summary
When evaluating OpenAI: o3 Deep Research against Google: Gemini 3.1 Pro Preview Custom Tools, the pricing structure is a key differentiator. Google: Gemini 3.1 Pro Preview Custom Tools is approximately 72% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Google: Gemini 3.1 Pro Preview Custom Tools leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Gemini 3.1 Pro Preview Custom Tools, provided their budget allows for the API burn rate.
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Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Google: Gemini 3.1 Pro Preview Custom Tools wins out aggressively in pricing.
People Also Ask
Is OpenAI: o3 Deep Research cheaper than Google: Gemini 3.1 Pro Preview Custom Tools?
No. Google: Gemini 3.1 Pro Preview Custom Tools is the more cost-effective model, operating at a lower price point per 1 million tokens.
Which model has the larger context window?
The Google: Gemini 3.1 Pro Preview Custom Tools model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.