OpenAI: GPT-5.2 Pro vs Google: Nano Banana Pro (Gemini 3 Pro Image Preview)
Head-to-head API cost, context, and performance comparison. Synced at 9:51:16 AM.
Executive Summary
When evaluating OpenAI: GPT-5.2 Pro 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 93% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, Google: Nano Banana Pro (Gemini 3 Pro Image Preview) leads with a statistical ELO score of 1300. For tasks involving complex logic, coding, or instruction-following, developers might prefer Google: Nano Banana Pro (Gemini 3 Pro Image Preview), provided their budget allows for the API burn rate.
You are losing 93%
per million tokens by hardcoding OpenAI: GPT-5.2 Pro.
Stop guessing exactly which model to route to. Deploy the 0ms Intelligence Engine to automatically arbitrage this 93% gap in your production environment instantly.
Raw Technical comparison
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 Pro (Gemini 3 Pro Image Preview) wins out aggressively in pricing.
People Also Ask
Is OpenAI: GPT-5.2 Pro 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 OpenAI: GPT-5.2 Pro model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.