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Recraft V4.1vs.Stable Diffusion XL 1.0

Which one is better?

In our own test, Recraft V4.1 leads. Neither is in the arena. Neither has an API price.

Test images

Same task, the first image of each. The task with the biggest difference is preselected.

Recraft V4.1: Infographic, first image from the fixed test run
Recraft V4.173 out of 100
Stable Diffusion XL 1.0: Infographic, first image from the fixed test run
Stable Diffusion XL 1.05 out of 100

Result for “Infographic”:Recraft V4.1 ahead

Prompt given to both modelsCreate a square German infographic titled SO FUNKTIONIERT PHOTOSYNTHESE. Show exactly four numbered steps in this order: 1 LICHT, 2 WASSER, 3 CO₂, 4 ZUCKER + SAUERSTOFF. Use a clean editorial science style with one plant cross-section, simple arrows, high contrast, legible labels, and no other text.

What the rating looks at: Numbers, labels, and visual organization.

“Ahead”: better in all three rating rounds. “Slightly ahead”: a higher value, but not in every round.

Test protocol of the images

Each test attempt uses the same archived prompt and one request. The first output of that attempt counts. Repeats after technical test failures are disclosed for the affected images. Files are normalized to 1,024 × 1,024 pixels without cropping. Provider resolution, randomness, quality tier and prompt processing can still differ. The images are a practical visual test, not a reconstruction of the arena configuration.

Character and detail

Recraft V4.1: openrouter, aspect ratio 1:1, provider default resolution, n=1, seed=provider random, actual cost $0.035000, generated Nov 1, 2026, 8:37 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=268378870826470633; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native tokenizer truncation: tokenizer 80 to 77 tokens, tokenizer_2 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:07 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Recraft V4.1 image SHA 256: b4e53e88552e5850d1ca0858ae7351851544281c853d625fbe6e028a16920195

Stable Diffusion XL 1.0 image SHA 256: 26d3c3d3e687614e24dd12191246bc1d96c1576d31f9211840a3e02b64d4d507

Infographic

Recraft V4.1: openrouter, aspect ratio 1:1, provider default resolution, n=1, seed=provider random, actual cost $0.035000, generated Nov 1, 2026, 8:37 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=5455008934753613262; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:08 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Recraft V4.1 image SHA 256: adaec4b62c06d7fc4107f8d61bbf8742b412abcdd17c22d01f8f21b194a6d3b6

Stable Diffusion XL 1.0 image SHA 256: ebfe8d1c223478c94ff1973ab2600cd4f696b40b8c3388ca40f26f52c83afdb2

Product photography

Recraft V4.1: openrouter, aspect ratio 1:1, provider default resolution, n=1, seed=provider random, actual cost $0.035000, generated Nov 1, 2026, 8:37 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=490593220006868735; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native tokenizer truncation: tokenizer 80 to 77 tokens, tokenizer_2 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:06 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Recraft V4.1 image SHA 256: e6651efeb56090323aeb160fa80eeb4faab85c3b8dac61a684b6a975b2450530

Stable Diffusion XL 1.0 image SHA 256: f59af9c84f6fbb3e4ca34bf87ebb0f7c088e8caa520fa4cdf815a96d1bffda83

Typography and layout

Recraft V4.1: openrouter, aspect ratio 1:1, provider default resolution, n=1, seed=provider random, actual cost $0.035000, generated Nov 1, 2026, 8:37 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=253938565953989943; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:05 PM. Source

Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Recraft V4.1 image SHA 256: c4f8387fba9aaf0223c56a3224559e21f670e14c38eb7d64b235b675ef1008c3

Stable Diffusion XL 1.0 image SHA 256: c81e5d0d70afcb53fcffb51a0d548041fd0b33df300aed14b8ecd354aaaaec4e

The numbers at a glance

Arena ratingfrom votes by users · higher is better
n/a

Recraft V4.1

not in the arena

n/a

Stable Diffusion XL 1.0

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
65

Recraft V4.1

Rank 37 of 108

13

Stable Diffusion XL 1.0

Rank 100 of 108

Price per imagedollars through the API · lower is better
n/a

Recraft V4.1

no API price

n/a

Stable Diffusion XL 1.0

no API price

Ranks among the 21 image models with an arena rating and the 108 with a GraduallyBench run; prices compared with 28 models with an API price.

Recraft V4.1

Subscription
Free to use at Recraft (Recraft Free, with limited credits), more from ≈ €12.72 a month (Recraft Basic, with limited credits). Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 27 plans in Germany.
Via API
No API price known. Access: API, Web app.
Weights
unknown.

Stable Diffusion XL 1.0

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: API, local.
License
Open weights.

Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.

GraduallyBench from Nov 3, 2026 · Subscription database from Sep 29, 2026 (38 days old)

All data side by side

The better value is bold. For ratings only when the gap is clear.

KennzahlRecraft V4.1Stable Diffusion XL 1.0
Ratings
Arena ratingfrom votes by users, higher is bettern/an/a
Arena rankn/an/a
Arena votesmore votes, a safer ratingn/an/a
GraduallyBenchour own rating, 0 to 1006513
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition705
Product photographyMaterials, reflections, and fine details7113
Character and detailAnatomy, clothing, and spatial consistency4828
InfographicNumbers, labels, and visual organization735
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedMay 2026n/a
Weightsopen means: runs locallyunknownopen
Lifecycleno noticeOlder open checkpoint; provider still lists it in its legacy model overview
AccessAPI, Web appAPI, local
Parametersnot publishednot published
Largest output2Knot consistently published
Plans in Germanynaming exactly this model27n/a

API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.

Sources: Recraft V4.1 model source (verified Nov 1, 2026) · Stable Diffusion XL 1.0 model source, status source (verified Nov 1, 2026)

Arena ratings by category

From blind votes on LMArena. “Ahead” means the lead is clear.

No shared arena score in the stored snapshot

The stored benchmark database contains no measurement for Recraft V4.1 and Stable Diffusion XL 1.0 from the same arena and category. Older model versions are not used as substitutes.

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