← All models

FLUX.1 [schnell]

Image Available Full comparison ↗

bfl/flux-1-schnell · by Black Forest Labs · Flow matching / rectified flow · Built on FLUX.1 [pro]

Pricing — 2 offering(s)

fal.ai

View on fal.ai ↗

Default

  • $0.003 / megapixel Current 2026-06-10 → present
    fal bills per output megapixel, rounded up — a different unit from Replicate's per-image price for the same…

    fal bills per output megapixel, rounded up — a different unit from Replicate's per-image price for the same model.

Replicate

View on Replicate ↗

Default

  • $0.003 / image Current 2026-06-09 → present
    Flat price per output image for the public model on Replicate. effective_from is set to the first-observed…

    Flat price per output image for the public model on Replicate. effective_from is set to the first-observed date (true start unknown).

Showing the active price and any recorded history. Full pricing history is available via the paid API — see API docs.

See how FLUX.1 [schnell] fits into a cost-aware routing setup

See how →

Capability profile

How FLUX.1 [schnell] rates across core capability dimensions, with the task-level evidence behind each rating.

Inference speed Strong

Designed for 1-4 step generation; sub-second to ~1s on a fast GPU.

Photorealism Moderate

Good for a fast model; below FLUX.1 [dev]/[pro] and top realism models.

Prompt adherence Moderate

Inherits FLUX-class adherence, slightly reduced by distillation.

Compositional accuracy Moderate

No schnell-specific GenEval score is published. As a proxy, FLUX.1 [dev] — which schnell is timestep-distilled from — scores ~0.66 on GenEval (automated compositional alignment: object presence, counting, colours, position, attribute binding; 0–1 = fraction of checks passed), i.e. roughly 1 generation in 3 misses a requested attribute; schnell should sit at or slightly below that given the distillation tradeoff. This is NOT schnell's own measured score. Independent proxy (third-party getimg.ai comparison of FLUX.1 [dev], 2026-06); see the benchmarks block and limitations for the proxy caveat and schnell's own Arena Elo.

Text rendering Moderate

Better than SDXL-era models; weaker than dev/pro and DALL·E 3.

Artistic style range Moderate
Resolution ceiling Moderate

Targets roughly 0.1-2 megapixels; upscale for larger.

Benchmarks

Benchmark Score Config Source
GenEval ≈0.66 Schnell-specific GenEval is not published; this is the FLUX.1 [dev] figure it is distilled from (third-party comparisons report ~0.66-0.71 depending on sampling). Schnell should be expected to score at or slightly below dev. independent ↗

Operator guidance

Route here when speed and cost per image dominate and top-tier fidelity isn't required. Step up to FLUX.1 [dev]/[pro] for higher fidelity, or to DALL·E 3 for the strongest prompt following and in-image text.

Use cases

Provenance notice

  • Open weights with no built-in content-provenance metadata (no C2PA/watermark by default)
  • Base training-data composition not publicly disclosed by Black Forest Labs

Limitations

Citations