CostPerGen

FLUX.2 [pro] is cheaper: $0.03 vs $0.065 per image at 1024×1024 on each model's cheapest path — 2.2× less. For 1,000 images (1024×1024): $30.00 vs $65.00. Stamped 2026-09-07. Stable Diffusion 3.5 Large's premium may buy quality — this index measures cost only.

FLUX.2 [pro] vs Stable Diffusion 3.5 Large: price

FLUX.2 [pro]

$0.03 per image at 1024×1024

Cheapest: $0.03 via Black Forest Labs (verified)

Stable Diffusion 3.5 Large

$0.065 per image at 1024×1024

Cheapest: $0.065 via Stability AI (estimated)

How much does FLUX.2 [pro] cost?

ProviderPrice /image (1024²)Provider's own unitvs officialStatusSource
Black Forest Labscheapest$0.03$0.03 first megapixel + $0.015 each additional MPUSD per megapixel—Verified2026-09-07source
fal.ai$0.03$0.03 per imageUSD per image0%Derived2026-09-07source
How these numbers were computed

How much does Stable Diffusion 3.5 Large cost?

ProviderPrice /image (1024²)Provider's own unitvs officialStatusSource
Stability AIcheapest$0.0656.5 credits per image ($0.01/credit)credits—Estimated2026-09-07source
fal.ai$0.065$0.065 per megapixelUSD per megapixel (1024×1024 ≈ 1 MP)0%Derived2026-09-07source
How these numbers were computed

Frequently asked

Is FLUX.2 [pro] cheaper than Stable Diffusion 3.5 Large?

FLUX.2 [pro] is cheaper: $0.03 vs $0.065 per image at 1024×1024 on each model's cheapest path — 2.2× less. For 1,000 images (1024×1024): $30.00 vs $65.00. Stamped 2026-09-07. Stable Diffusion 3.5 Large's premium may buy quality — this index measures cost only.

What does 1,000 images (1024×1024) cost on each?

FLUX.2 [pro]: $30.00 (cheapest path). Stable Diffusion 3.5 Large: $65.00. Both computed from the normalized canonical rate; real invoices vary with resolution, minimum charges, and tiers.

Which is better quality?

This index measures cost, not quality. For quality benchmarks, see Artificial Analysis — a image model that costs more is not automatically better, and vice versa.

Prices normalized to per image at 1024×1024; per-clip, credit, and tier billing converted per themethodology. Quality comparison is out of scope — seeArtificial Analysis.