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Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) vs OpenAI: GPT-4o-mini

Head-to-head API cost, context, and performance comparison. Synced at 11:19:46 AM.

Executive Summary

When evaluating Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) against OpenAI: GPT-4o-mini, the pricing structure is a key differentiator. OpenAI: GPT-4o-mini is approximately 79% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) leads with a statistical ELO score of 1493. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview), 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-4o-mini
Performance (ELO)
1493
1489
Input Cost / 1M
$0.50
$0.15
Output Cost / 1M
$3.00
$0.60
Context Window
65,536 tokens
128,000 tokens

Verdict

If you are looking for pure performance and capability, Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-4o-mini wins out aggressively in pricing.

People Also Ask

Is Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview) cheaper than OpenAI: GPT-4o-mini?

No. OpenAI: GPT-4o-mini 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-4o-mini model has the advantage in memory, offering a massive 128,000 token limit for document ingestion.

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