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Anthropic: Claude Opus 4.1 (batch) vs Google: Nano Banana 2 (Gemini 3.1 Flash Image)

Head-to-head API cost, context, and performance comparison. Synced at 3:26:12 PM.

Executive Summary

When evaluating Anthropic: Claude Opus 4.1 (batch) against Google: Nano Banana 2 (Gemini 3.1 Flash Image), the pricing structure is a key differentiator. Google: Nano Banana 2 (Gemini 3.1 Flash Image) is approximately 92% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, Anthropic: Claude Opus 4.1 (batch) leads with a statistical ELO score of 1508. For tasks involving complex logic, coding, or instruction-following, developers might prefer Anthropic: Claude Opus 4.1 (batch), provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
Anthropic: Claude Opus 4.1 (batch)
Google: Nano Banana 2 (Gemini 3.1 Flash Image)
Performance (ELO)
1508
1506
Input Cost / 1M
$7.50
$0.50
Output Cost / 1M
$37.50
$3.00
Context Window
200,000 tokens
131,072 tokens

Verdict

If you are looking for pure performance and capability, Anthropic: Claude Opus 4.1 (batch) is statistically superior. However, if API burn rate is the primary concern, Google: Nano Banana 2 (Gemini 3.1 Flash Image) wins out aggressively in pricing.

People Also Ask

Is Anthropic: Claude Opus 4.1 (batch) cheaper than Google: Nano Banana 2 (Gemini 3.1 Flash Image)?

No. Google: Nano Banana 2 (Gemini 3.1 Flash Image) is the more cost-effective model, operating at a lower price point per 1 million tokens.

Which model has the larger context window?

The Anthropic: Claude Opus 4.1 (batch) model has the advantage in memory, offering a massive 200,000 token limit for document ingestion.

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