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Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs OpenAI: GPT-5 Image Mini

Head-to-head API cost, context, and performance comparison. Synced at 9:52:17 AM.

Executive Summary

When evaluating Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) against OpenAI: GPT-5 Image Mini, the pricing structure is a key differentiator. Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) is approximately 22% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5 Image Mini leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5 Image Mini, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)
OpenAI: GPT-5 Image Mini
Performance (ELO)
1300
1300
Input Cost / 1M
$0.50
$2.50
Output Cost / 1M
$3.00
$2.00
Context Window
65,536 tokens
400,000 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 2 (Gemini 3.1 Flash Image Preview) wins out aggressively in pricing.

People Also Ask

Is Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) cheaper than OpenAI: GPT-5 Image Mini?

Yes. Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) is cheaper for both input and output generation compared to OpenAI: GPT-5 Image Mini. Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5 Image Mini model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.

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