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OpenAI: GPT-5 Nano vs Google: Nano Banana (Gemini 2.5 Flash Image)

Head-to-head API cost, context, and performance comparison. Synced at 2:29:17 PM.

Executive Summary

When evaluating OpenAI: GPT-5 Nano against Google: Nano Banana (Gemini 2.5 Flash Image), the pricing structure is a key differentiator. OpenAI: GPT-5 Nano is approximately 84% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5 Nano leads with a statistical ELO score of 1483. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5 Nano, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-5 Nano
Google: Nano Banana (Gemini 2.5 Flash Image)
Performance (ELO)
1483
1482
Input Cost / 1M
$0.05
$0.30
Output Cost / 1M
$0.40
$2.50
Context Window
400,000 tokens
32,768 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-5 Nano is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5 Nano wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5 Nano cheaper than Google: Nano Banana (Gemini 2.5 Flash Image)?

Yes. OpenAI: GPT-5 Nano is cheaper for both input and output generation compared to Google: Nano Banana (Gemini 2.5 Flash Image). Exploring alternatives often yields cost reductions.

Which model has the larger context window?

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

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