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Google: Nano Banana Pro (Gemini 3 Pro Image) vs OpenAI: GPT-5.6 Terra Pro

Head-to-head API cost, context, and performance comparison. Synced at 1:38:54 PM.

Executive Summary

When evaluating Google: Nano Banana Pro (Gemini 3 Pro Image) against OpenAI: GPT-5.6 Terra Pro, the pricing structure is a key differentiator. Both models are remarkably similar in API costs.

However, when looking at raw reasoning capabilities, Google: Nano Banana Pro (Gemini 3 Pro Image) leads with a statistical ELO score of 1480. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Nano Banana Pro (Gemini 3 Pro Image), provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
Google: Nano Banana Pro (Gemini 3 Pro Image)
OpenAI: GPT-5.6 Terra Pro
Performance (ELO)
1480
1479
Input Cost / 1M
$2.00
$2.00
Output Cost / 1M
$12.00
$12.00
Context Window
131,072 tokens
1,050,000 tokens

Verdict

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

People Also Ask

Is Google: Nano Banana Pro (Gemini 3 Pro Image) cheaper than OpenAI: GPT-5.6 Terra Pro?

No. OpenAI: GPT-5.6 Terra Pro is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The OpenAI: GPT-5.6 Terra Pro model has the advantage in memory, offering a massive 1,050,000 token limit for document ingestion.

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