Google: Gemini 3.1 Pro Preview vs OpenAI: o3
Head-to-head API cost, context, and performance comparison. Synced at 9:50:05 AM.
Executive Summary
When evaluating Google: Gemini 3.1 Pro Preview against OpenAI: o3, the pricing structure is a key differentiator. OpenAI: o3 is approximately 29% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Google: Gemini 3.1 Pro Preview leads with a statistical ELO score of 1405. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Gemini 3.1 Pro Preview, 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, Google: Gemini 3.1 Pro Preview is statistically superior. However, if API burn rate is the primary concern, OpenAI: o3 wins out aggressively in pricing.
People Also Ask
Is Google: Gemini 3.1 Pro Preview cheaper than OpenAI: o3?
No. OpenAI: o3 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 model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.