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Google: Gemini 2.5 Pro Preview 05-06 vs OpenAI: o3

Head-to-head API cost, context, and performance comparison. Synced at 9:53:21 AM.

Executive Summary

When evaluating Google: Gemini 2.5 Pro Preview 05-06 against OpenAI: o3, the pricing structure is a key differentiator. OpenAI: o3 is approximately 11% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: o3 leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: o3, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Google: Gemini 2.5 Pro Preview 05-06
OpenAI: o3
Performance (ELO)
1300
1300
Input Cost / 1M
$1.25
$2.00
Output Cost / 1M
$10.00
$8.00
Context Window
1,048,576 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 wins out aggressively in pricing.

People Also Ask

Is Google: Gemini 2.5 Pro Preview 05-06 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 2.5 Pro Preview 05-06 model has the advantage in memory, offering a massive 1,048,576 token limit for document ingestion.

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