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MiniMax Image-01vs.Stable Diffusion 3.5 Large Turbo

Which one is better?

In our own test both are on par. 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.

MiniMax Image-01: Character and detail, first image from the fixed test run
MiniMax Image-0133 out of 100
Stable Diffusion 3.5 Large Turbo: Character and detail, first image from the fixed test run
Stable Diffusion 3.5 Large Turbo51 out of 100

Result for “Character and detail”:Stable Diffusion 3.5 Large Turbo slightly ahead

Prompt given to both modelsCreate a square cinematic full-body portrait of a fictional bicycle courier waiting under a transparent umbrella at a rainy tram stop in Hamburg at blue hour. She wears a mustard raincoat, navy trousers, red sneakers, a silver helmet, and carries a teal messenger bag. Keep both hands visible, render the bicycle correctly, use realistic wet-street reflections, and include no readable brand names.

What the rating looks at: Anatomy, clothing, and spatial consistency.

“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

MiniMax Image-01: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, generated Nov 1, 2026, 8:43 PM. Source

Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source

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

MiniMax Image-01 image SHA 256: b99793e66d1eb69880872d1865f25456b6588dc658aa46906b7636da46f63320

Stable Diffusion 3.5 Large Turbo image SHA 256: 312460ab73a4a22292bf6fbce099d86a22b0b8418f1516351f12f181b5574c76

Infographic

MiniMax Image-01: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, generated Nov 1, 2026, 8:43 PM. Source

Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source

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

MiniMax Image-01 image SHA 256: 31b08957fb9eda45525c50935fd332cdbe5a5150a4ed57dead5254e667b2b0de

Stable Diffusion 3.5 Large Turbo image SHA 256: 16be803360e5a8025715fd221a0a623d1d68dc1ef38063d12c5abc1298e68d69

Product photography

MiniMax Image-01: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, generated Nov 1, 2026, 8:43 PM. Source

Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source

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

MiniMax Image-01 image SHA 256: a8986bd9a5e8262b5705f8a7ba5259968371a3bc8e14394b992736f59e45385b

Stable Diffusion 3.5 Large Turbo image SHA 256: 1d9665660c7b05a58edc1b68c7f9d773ec4fbcaa41f15d3d691df764d5314b82

Typography and layout

MiniMax Image-01: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, generated Nov 1, 2026, 8:42 PM. Source

Stable Diffusion 3.5 Large Turbo: fal, image_size=square_hd, num_inference_steps=4, guidance_scale=0, n=1, seed=provider random, Estimate reserves 2 MP at Fal's $0.015 per MP rate, estimated cost $0.030000, generated Nov 2, 2026, 3:28 PM. Source

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

MiniMax Image-01 image SHA 256: 020129f518174bf171032cc5cb7b2234782f4e1d7b1e685d473388094630a107

Stable Diffusion 3.5 Large Turbo image SHA 256: e50fd19573ee42b2d6419b51f45bf29e04931ae1b583868d340fc05d973975ea

The numbers at a glance

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

MiniMax Image-01

not in the arena

n/a

Stable Diffusion 3.5 Large Turbo

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
31

MiniMax Image-01

Rank 82 of 108

27

Stable Diffusion 3.5 Large Turbo

Rank 88 of 108

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

MiniMax Image-01

no API price

n/a

Stable Diffusion 3.5 Large 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.

MiniMax Image-01

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: API.
Weights
unknown.

Stable Diffusion 3.5 Large Turbo

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.

KennzahlMiniMax Image-01Stable Diffusion 3.5 Large 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 1003127
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition3726
Product photographyMaterials, reflections, and fine details3015
Character and detailAnatomy, clothing, and spatial consistency3351
InfographicNumbers, labels, and visual organization2617
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedFeb 28, 2025Oct 22, 2024
Weightsopen means: runs locallyunknownopen
AccessAPIAPI, local
Parametersnot publishednot published
Largest outputnot consistently publishednot consistently published
Plans in Germanynaming exactly this modeln/an/a

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

Sources: MiniMax Image-01 model source (verified Nov 1, 2026) · Stable Diffusion 3.5 Large 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 MiniMax Image-01 and Stable Diffusion 3.5 Large Turbo from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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