OpenAI: GPT-5 Codex vs Google: Nano Banana Pro (Gemini 3 Pro Image Preview)
Head-to-head API cost, context, and performance comparison. Synced at 2:29:03 PM.
Executive Summary
When evaluating OpenAI: GPT-5 Codex against Google: Nano Banana Pro (Gemini 3 Pro Image Preview), the pricing structure is a key differentiator. OpenAI: GPT-5 Codex is approximately 20% 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 1486. 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.
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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, OpenAI: GPT-5 Codex wins out aggressively in pricing.
People Also Ask
Is OpenAI: GPT-5 Codex cheaper than Google: Nano Banana Pro (Gemini 3 Pro Image Preview)?
Yes. OpenAI: GPT-5 Codex is cheaper for both input and output generation compared to Google: Nano Banana Pro (Gemini 3 Pro Image Preview). Exploring alternatives often yields cost reductions.
Which model has the larger context window?
The OpenAI: GPT-5 Codex model has the advantage in memory, offering a massive 400,000 token limit for document ingestion.