Pairwise benchmark snapshot · Aug 1, 2026
Comparing verified benchmark accuracy, speed, and token pricing between DALL-E 3 and FLUX.2 [flex]. 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
Legacy OpenAI image model benchmark baseline. Retained for historical comparisons.
Flexible step-distilled variant of FLUX.2 offering 99% of Max quality with 45% faster generation speeds.
Δ 79 Image Elo pts
2.8s 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 | FLUX.2 [flex] | Advantage Delta |
|---|---|---|---|
| Image Elo | +79 | ||
| Generation time | +3.4s | ||
| Price per 1k images | +$20/1k | ||
| Prompt adherence | +6.5% | ||
| Text rendering | +10.5% |
Simulate monthly production API costs in USD (US Dollar).
DALL-E 3 is estimated to save $500.00/month ($6,000/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