Pairwise benchmark snapshot · Aug 1, 2026
Comparing verified benchmark accuracy, speed, and token pricing between Luma UNI 1 Max and Nano Banana Pro (Gemini 3 Pro Image). Review the complete breakdown below to determine which model best fits your performance and budget requirements.
5 direct benchmark disciplines evaluated across capability, speed, and cost
Luma Labs universal 3D-aware image synthesis engine with spatial geometry consistency.
Google DeepMind frontier multimodal image generation flagship with Deep Research and complex multi-object spatial reasoning.
Δ 73 Image Elo pts
4.2s per render
$100/1k images
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 | Luma UNI 1 Max | Nano Banana Pro (Gemini 3 Pro Image) | Advantage Delta |
|---|---|---|---|
| Image Elo | +73 | ||
| Generation time | +0.2s | ||
| Price per 1k images | $100/1k | $134/1k | +$34/1k |
| Prompt adherence | +2.3% | ||
| Text rendering | +3% |
Simulate monthly production API costs in USD (US Dollar).
Luma UNI 1 Max is estimated to save $850.00/month ($10,200/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