Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)
This page compares GPT-4o (OpenAI) and Nano Banana Pro (Gemini 3 Pro Image) (Google) using the latest snapshots we have as of Aug 17, 2026. Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.
Google DeepMind frontier multimodal image generation flagship with Deep Research and complex multi-object spatial reasoning.
Instant pairwise benchmark recalculation across 400+ LLMs
Category wins across intelligence, speed, and pricing efficiency.
Arena Preference Elo, prompt fidelity & typography score
Time to render full-resolution image snapshot (seconds)
API inference cost per 1,000 generated images
Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.
No shared data
No shared data
No shared data
Simulate monthly production API costs in USD (US Dollar).
GPT-4o is estimated to save $3,350.00/month ($40,200/year).
Need SWE-bench on both sides.
Need list prices.
Need TTFT on both sides.
Need context sizes.
Both accept images. Defaulting to the higher-Elo side (undefined).
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | insufficient data | Need SWE-bench on both sides. |
| High-volume chat | insufficient data | Need list prices. |
| Voice / low-latency UI | insufficient data | Need TTFT on both sides. |
| Long-document RAG | insufficient data | Need context sizes. |
| Screenshots / vision | insufficient data | Both accept images. Defaulting to the higher-Elo side (undefined). |
No comments posted on this matchup yet. Be the first to share an evaluation note!
The real PNG is generated at /compare/gpt-4o-vs-nano-banana-pro/opengraph-image for crawlers.
Verified head-to-head card
