Pairwise benchmark snapshot · Aug 1, 2026noindex (thin pair)
Comparing verified benchmark accuracy, speed, and token pricing between Nano Banana Pro (Gemini 3 Pro Image) and Qwen 2.5 Plus. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
Google DeepMind frontier multimodal image generation flagship with Deep Research and complex multi-object spatial reasoning.
Alibaba balanced flagship API model with high-throughput general reasoning.
Single model data
No latency data
Unpriced
Category wins across reasoning intelligence, generation speed, and token cost.
Arena Preference Elo, prompt fidelity & typography score
Time to render full-resolution image snapshot (seconds)
API inference cost per 1,000 generated images
| Benchmark | Nano Banana Pro (Gemini 3 Pro Image) | Qwen 2.5 Plus | Advantage Delta |
|---|---|---|---|
| Image Elo | — | — | |
| Generation time | — | — | |
| Price per 1k images | $134/1k | — | — |
| Prompt adherence | — | — | |
| Text rendering | — | — |
Simulate monthly production API costs in USD (US Dollar).
Qwen 2.5 Plus 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). |
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Verified Head-to-Head Telemetry
