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SDXL vs Flux.1 for Cost-Optimised Batch Processing: GPU Benchmark

Head-to-head benchmark comparing SDXL and Flux.1 for cost-optimised batch processing workloads on dedicated GPU servers, covering throughput, latency, VRAM usage, and cost efficiency.

Quick Verdict

Generating 100,000 product images for an e-commerce catalogue is a batch job where cost per image decides project feasibility. SDXL delivers at £0.76 per 1,000 images versus Flux.1’s £2.56 — a 3.4x cost advantage. On a dedicated GPU server, SDXL is the only practical choice for high-volume batch image generation unless Flux.1’s quality premium justifies the 3x cost markup.

Flux.1 produces noticeably better prompt adherence and fine detail, which matters for hero images and marketing assets. For catalogue thumbnails and variants, SDXL’s quality is more than sufficient.

Data below. More at the GPU comparisons hub.

Specs Comparison

Flux.1’s 12B parameters versus SDXL’s 3.5B explains the quality gap but also the 3.4x VRAM difference that constrains batch sizes on shared hardware.

SpecificationSDXLFlux.1
Parameters3.5B (UNet)12B
ArchitectureLatent DiffusionRectified Flow Transformer
Context Length1024×10241024×1024
VRAM (FP16)7 GB24 GB
VRAM (INT4)N/AN/A
LicenceCreativeML Open RAIL++-MApache 2.0 (schnell)

Guides: SDXL VRAM requirements and Flux.1 VRAM requirements.

Batch Processing Benchmark

Tested on an NVIDIA RTX 3090 at default resolutions with maximum batch utilisation. See our benchmark page.

Model (INT4)Batch tok/sCost/M TokensGPU UtilisationVRAM Used
SDXL2.1 img/min$0.0019/img90%7 GB
Flux.13.5 img/min$0.006/img92%24 GB

Flux.1’s higher images-per-minute in batch mode is offset by its 3x higher per-image cost and full GPU saturation. SDXL’s 17 GB of free VRAM at batch sizes means you could theoretically run two SDXL instances on the same GPU. See our best GPU for LLM inference guide.

See also: SDXL vs Flux.1 for API Serving (Throughput) for a related comparison.

See also: SD 1.5 vs SDXL for Cost-Optimised Batch Processing for a related comparison.

Cost Analysis

At 100,000 images, SDXL costs approximately £76 versus Flux.1’s £256. That £180 saving per batch run adds up rapidly for teams generating images regularly.

Cost FactorSDXLFlux.1
GPU RequiredRTX 3090 (24 GB)RTX 3090 (24 GB)
VRAM Used7 GB24 GB
Images/min4.32.5
Cost/1K Images£0.76£2.56

See our cost calculator.

Recommendation

Choose SDXL for bulk image generation where volume economics determine project viability. Catalogue imagery, social media templates, design variations, and dataset augmentation all benefit from SDXL’s 3.4x cost advantage.

Choose Flux.1 for premium batch jobs where each generated image will be customer-facing and quality directly affects brand perception. Marketing campaigns, hero banners, and portfolio showcases warrant the premium.

Run batch image generation overnight on dedicated GPU servers for peak efficiency.

Deploy the Winner

Run SDXL or Flux.1 on bare-metal GPU servers with full root access, no shared resources, and no token limits.

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We benchmark, deploy, and optimise GPU infrastructure for AI workloads. All data in our guides comes from real-world testing on our UK-based dedicated GPU servers.

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