Pairwise benchmark snapshot · Aug 1, 2026
Comparing verified benchmark accuracy, speed, and token pricing between DALL-E 3 and Luma UNI 1 Max. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
Legacy OpenAI image model benchmark baseline. Retained for historical comparisons.
Luma Labs universal 3D-aware image synthesis engine with spatial geometry consistency.
Δ 81 Image Elo pts
4.4s per render
$40/1k 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 | DALL-E 3 | Luma UNI 1 Max | Advantage Delta |
|---|---|---|---|
| Image Elo | Luma UNI 1 Max (+81) | ||
| Generation time | Luma UNI 1 Max (+1.8s) | ||
| Price per 1k images | $100/1k | DALL-E 3 (+$60/1k) | |
| Prompt adherence | Luma UNI 1 Max (+6.2%) | ||
| Text rendering | Luma UNI 1 Max (+9%) |
Simulate monthly production API costs in USD (US Dollar).
DALL-E 3 is estimated to save $1,500.00/month ($18,000/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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The real PNG is generated at /compare/dall-e-3-vs-luma-uni-1-max/opengraph-image for crawlers.
Verified head-to-head card