Pairwise benchmark snapshot · Aug 1, 2026
Comparing verified benchmark accuracy, speed, and token pricing between Luma UNI 1 Max and MAI-Image-2.5-Flash. 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.
Cost-optimized Microsoft AI image model delivering sub-2 second responses at $20/1k images.
Δ 5 Image Elo pts
1.6s per render
$20/1k 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 | MAI-Image-2.5-Flash | Advantage Delta |
|---|---|---|---|
| Image Elo | +5 | ||
| Generation time | +2.8s | ||
| Price per 1k images | $100/1k | +$80/1k | |
| Prompt adherence | +1.7% | ||
| Text rendering | +1% |
Simulate monthly production API costs in USD (US Dollar).
MAI-Image-2.5-Flash is estimated to save $2,000.00/month ($24,000/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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Verified Head-to-Head Telemetry