Pairwise benchmark snapshot · Aug 1, 2026
Comparing verified benchmark accuracy, speed, and token pricing between FLUX.1 [dev] and GPT Image 1.5. 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
Open-weights non-commercial base model with 12B parameters, serving as the foundation for the open-source fine-tuning ecosystem.
Previous OpenAI image generation flagship. High fidelity with proven enterprise reliability.
Currently comparing FLUX.1 [dev] vs GPT Image 1.5. Alternative family tiers available.
Δ 133 Image Elo pts
3.5s per render
$30/1k 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 | FLUX.1 [dev] | GPT Image 1.5 | Advantage Delta |
|---|---|---|---|
| Image Elo | +133 | ||
| Generation time | +0.5s | ||
| Price per 1k images | $133/1k | +$103/1k | |
| Prompt adherence | +3.5% | ||
| Text rendering | +4.5% |
Simulate monthly production API costs in USD (US Dollar).
FLUX.1 [dev] is estimated to save $2,575.00/month ($30,900/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