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Google: Nano Banana Pro (Gemini 3 Pro Image) vs OpenAI: GPT-5.2 Chat

Head-to-head API cost, context, and performance comparison. Synced at 8:14:51 AM.

Executive Summary

When evaluating Google: Nano Banana Pro (Gemini 3 Pro Image) against OpenAI: GPT-5.2 Chat, the pricing structure is a key differentiator. Google: Nano Banana Pro (Gemini 3 Pro Image) is approximately 11% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.2 Chat leads with a statistical ELO score of 1480. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.2 Chat, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Google: Nano Banana Pro (Gemini 3 Pro Image)
OpenAI: GPT-5.2 Chat
Performance (ELO)
1480
1480
Input Cost / 1M
$2.00
$1.75
Output Cost / 1M
$12.00
$14.00
Context Window
65,536 tokens
128,000 tokens

Verdict

If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Google: Nano Banana Pro (Gemini 3 Pro Image) wins out aggressively in pricing.

People Also Ask

Is Google: Nano Banana Pro (Gemini 3 Pro Image) cheaper than OpenAI: GPT-5.2 Chat?

Yes. Google: Nano Banana Pro (Gemini 3 Pro Image) is cheaper for both input and output generation compared to OpenAI: GPT-5.2 Chat. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5.2 Chat model has the advantage in memory, offering a massive 128,000 token limit for document ingestion.

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