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Recraft V4.1 Utilityvs.Boogu-Image-0.1-Turbo

Which one is better?

In our own test, Recraft V4.1 Utility leads. Neither is in the arena. Boogu-Image-0.1-Turbo has no API price.

Test images

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

Recraft V4.1 Utility: Typography and layout, first image from the fixed test run
Recraft V4.1 Utility96 out of 100
Boogu-Image-0.1-Turbo: Typography and layout, first image from the fixed test run
Boogu-Image-0.1-Turbo18 out of 100

Result for “Typography and layout”:Recraft V4.1 Utility ahead

Prompt given to both modelsCreate a square editorial poster for an imaginary night train called MONDFALTER. Show the exact German headline MONDFALTER and the exact subline BERLIN NACH LISSABON. Use a restrained midnight-blue and warm-cream palette, one stylized moth, strong Swiss-grid typography, generous negative space, and no additional words or logos.

What the rating looks at: Legible text, hierarchy, and composition.

“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 Utility: openrouter, aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.035000, generated Aug 14, 2026, 1:37 PM. Source

Boogu-Image-0.1-Turbo: manual, local PyTorch 2.11.0, Diffusers 0.38.0; Boogu/Boogu-Image-0.1-Turbo@47cd26d3c211b030c64ffe60d63b2e17a7c519c2; native 1024x1024, 1:1; one request, first output; steps=4, guidance=1.0, seed=2111621457284287488; mps; native PyTorch fallback is enabled by PYTORCH_ENABLE_MPS_FALLBACK=1; actual CPU operation use is not measured; bfloat16; upstream boogu-project/Boogu-Image@9b327526b1053e1f27f1bd0ae36b20ce2c39cb9e; reviewed MPS device allowlist and empty-reference self-attention only on original CPU SDPA, unchanged arguments and dtype; nonempty attention remains on MPS; no CUDA numeric equivalence claimed; native VAE input saved after scaling and shift, decoded float output finite before native same-size interpolation; native instruction template without rewriting; original DMD student inference, conditioning sigma 0.001, generated Nov 2, 2026, 11:24 PM. Source

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

Recraft V4.1 Utility image SHA 256: d2ba0b86ed4214659720cdcf68ff09ca748700a32afc3d25808b6a3af74223f2

Boogu-Image-0.1-Turbo image SHA 256: 0c90d3a3e12870784d8b576ac3ace689b6cb627a4222f7cfc4a0d3793b9e4a37

Infographic

Recraft V4.1 Utility: openrouter, aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.035000, generated Aug 14, 2026, 1:38 PM. Source

Boogu-Image-0.1-Turbo: manual, local PyTorch 2.11.0, Diffusers 0.38.0; Boogu/Boogu-Image-0.1-Turbo@47cd26d3c211b030c64ffe60d63b2e17a7c519c2; native 1024x1024, 1:1; one request, first output; steps=4, guidance=1.0, seed=8524023330556932596; mps; native PyTorch fallback is enabled by PYTORCH_ENABLE_MPS_FALLBACK=1; actual CPU operation use is not measured; bfloat16; upstream boogu-project/Boogu-Image@9b327526b1053e1f27f1bd0ae36b20ce2c39cb9e; reviewed MPS device allowlist and empty-reference self-attention only on original CPU SDPA, unchanged arguments and dtype; nonempty attention remains on MPS; no CUDA numeric equivalence claimed; native VAE input saved after scaling and shift, decoded float output finite before native same-size interpolation; native instruction template without rewriting; original DMD student inference, conditioning sigma 0.001, generated Nov 2, 2026, 11:24 PM. Source

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

Recraft V4.1 Utility image SHA 256: 7d383a257e5152b2781a6e5a78edd54fe55900dfb2580f85078f8142b63194c5

Boogu-Image-0.1-Turbo image SHA 256: 096ae82e5a28ef1095f159019c41983c84a0c670a76e752fb3a1f9600fa7c45a

Product photography

Recraft V4.1 Utility: openrouter, aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.035000, generated Aug 14, 2026, 1:37 PM. Source

Boogu-Image-0.1-Turbo: manual, local PyTorch 2.11.0, Diffusers 0.38.0; Boogu/Boogu-Image-0.1-Turbo@47cd26d3c211b030c64ffe60d63b2e17a7c519c2; native 1024x1024, 1:1; one request, first output; steps=4, guidance=1.0, seed=9219148100655939974; mps; native PyTorch fallback is enabled by PYTORCH_ENABLE_MPS_FALLBACK=1; actual CPU operation use is not measured; bfloat16; upstream boogu-project/Boogu-Image@9b327526b1053e1f27f1bd0ae36b20ce2c39cb9e; reviewed MPS device allowlist and empty-reference self-attention only on original CPU SDPA, unchanged arguments and dtype; nonempty attention remains on MPS; no CUDA numeric equivalence claimed; native VAE input saved after scaling and shift, decoded float output finite before native same-size interpolation; native instruction template without rewriting; original DMD student inference, conditioning sigma 0.001, generated Nov 2, 2026, 11:23 PM. Source

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

Recraft V4.1 Utility image SHA 256: 7fd9cfe67371d0fecc6d605105ca777bec170d4d4e8dcad5b4f15f813e21c1ab

Boogu-Image-0.1-Turbo image SHA 256: 50719aadf378d21848c83dbdb510a8134c80be05cbb2b718182a95e9cbb28164

Typography and layout

Recraft V4.1 Utility: openrouter, aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.035000, generated Aug 14, 2026, 2:05 PM. Source

Boogu-Image-0.1-Turbo: manual, local PyTorch 2.11.0, Diffusers 0.38.0; Boogu/Boogu-Image-0.1-Turbo@47cd26d3c211b030c64ffe60d63b2e17a7c519c2; native 1024x1024, 1:1; one request, first output; steps=4, guidance=1.0, seed=4970356096182813142; mps; native PyTorch fallback is enabled by PYTORCH_ENABLE_MPS_FALLBACK=1; actual CPU operation use is not measured; bfloat16; upstream boogu-project/Boogu-Image@9b327526b1053e1f27f1bd0ae36b20ce2c39cb9e; reviewed MPS device allowlist and empty-reference self-attention only on original CPU SDPA, unchanged arguments and dtype; nonempty attention remains on MPS; no CUDA numeric equivalence claimed; native VAE input saved after scaling and shift, decoded float output finite before native same-size interpolation; native instruction template without rewriting; original DMD student inference, conditioning sigma 0.001; two local attempts: original MPSGraph SIGABRT before output; one identical-prompt, identical-seed technical repeat after reviewed backend-only correction, first output retained; exact failing original operator is not proven, generated Nov 2, 2026, 11:18 PM. Source

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

Recraft V4.1 Utility image SHA 256: 3aa0bc86cccfd2140ba4f5606f1f814a5a6ded23cb06b7aebe26f8dcf946a752

Boogu-Image-0.1-Turbo image SHA 256: cec0e99f796e6d0e4dafc517afc93fd93041aecbd52cef74a421ea9c3a15ab69

The numbers at a glance

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

Recraft V4.1 Utility

not in the arena

n/a

Boogu-Image-0.1-Turbo

not in the arena

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

Recraft V4.1 Utility

Rank 41 of 108

9

Boogu-Image-0.1-Turbo

Rank 104 of 108

Price per imagedollars through the API · lower is better
$0.035

Recraft V4.1 Utility

fairly cheap

n/a

Boogu-Image-0.1-Turbo

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 Utility

Subscription
Free to use at Recraft (Recraft Free, with limited credits), more from ≈ €12.72 a month (Recraft Basic, with limited credits). 4 plans in Germany.
Via API
$0.035 per image, 100 images $3.50.

Boogu-Image-0.1-Turbo

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: 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 · API prices from Nov 6, 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 V4.1 UtilityBoogu-Image-0.1-Turbo
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 100659
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition9618
Product photographyMaterials, reflections, and fine details326
Character and detailAnatomy, clothing, and spatial consistency665
InfographicNumbers, labels, and visual organization648
API price
Per imagelower is better$0.035n/a
100 images$3.50n/a
Profile
ReleasedMay 2026n/a
Weightsopen means: runs locallyproprietaryopen
AccessAPI, Web applocal
Parametersnot published10 billion
Largest output1 Megapixelnot consistently published
Plans in Germanynaming exactly this model4n/a

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

Sources: Recraft V4.1 Utility model source (verified Aug 15, 2026) · Boogu-Image-0.1-Turbo model 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 Utility and Boogu-Image-0.1-Turbo from the same arena and category. Older model versions are not used as substitutes.

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