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Amazon: Nova Premier 1.0 vs Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

Head-to-head API cost, context, and performance comparison. Synced at 9:49:14 AM.

Executive Summary

When evaluating Amazon: Nova Premier 1.0 against Google: Nano Banana Pro (Gemini 3 Pro Image Preview), the pricing structure is a key differentiator. Google: Nano Banana Pro (Gemini 3 Pro Image Preview) is approximately 7% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Amazon: Nova Premier 1.0 leads with a statistical ELO score of 1320. For tasks involving complex logic, coding, or instruction-following, developers might prefer Amazon: Nova Premier 1.0, provided their budget allows for the API burn rate.

Raw Technical comparison

Metric
Amazon: Nova Premier 1.0
Google: Nano Banana Pro (Gemini 3 Pro Image Preview)
Performance (ELO)
1320
1300
Input Cost / 1M
$2.50
$2.00
Output Cost / 1M
$12.50
$12.00
Context Window
1,000,000 tokens
65,536 tokens

Verdict

If you are looking for pure performance and capability, Amazon: Nova Premier 1.0 is statistically superior. However, if API burn rate is the primary concern, Google: Nano Banana Pro (Gemini 3 Pro Image Preview) wins out aggressively in pricing.

People Also Ask

Is Amazon: Nova Premier 1.0 cheaper than Google: Nano Banana Pro (Gemini 3 Pro Image Preview)?

No. Google: Nano Banana Pro (Gemini 3 Pro Image Preview) is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Amazon: Nova Premier 1.0 model has the advantage in memory, offering a massive 1,000,000 token limit for document ingestion.

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