Stable Diffusion 3.5 Large Turbovs.FLUX.1 Kontext [pro]

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.

Stable Diffusion 3.5 Large Turbo: Infographic, first image from the fixed test run — Stable Diffusion 3.5 Large Turbo17 out of 100

FLUX.1 Kontext [pro]: Infographic, first image from the fixed test run — FLUX.1 Kontext [pro]53 out of 100

Result for “Infographic”:FLUX.1 Kontext [pro] 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

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

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=1661036738, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: 312460ab73a4a22292bf6fbce099d86a22b0b8418f1516351f12f181b5574c76

FLUX.1 Kontext [pro] image SHA 256: a2b5cfe16c918f33c56d04a35a8cea5433ea17db1f41ab3f3ccefdc20791a3d1

Infographic

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=261169301, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: 16be803360e5a8025715fd221a0a623d1d68dc1ef38063d12c5abc1298e68d69

FLUX.1 Kontext [pro] image SHA 256: 8ec7449c0fd1b68f984aaa28dda6cb4d74a053cd88af42c10d79fac31980ffbe

Product photography

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=3307245438, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: 1d9665660c7b05a58edc1b68c7f9d773ec4fbcaa41f15d3d691df764d5314b82

FLUX.1 Kontext [pro] image SHA 256: 367531e667dd9156abe9666dc571fc122174a66788d726b2b4ab06d9c8226d9d

Typography and layout

FLUX.1 Kontext [pro]: fal, aspect ratio 1:1, n=1, seed=4284980986, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.040000, generated Nov 1, 2026, 9:02 PM. Source

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

Stable Diffusion 3.5 Large Turbo image SHA 256: e50fd19573ee42b2d6419b51f45bf29e04931ae1b583868d340fc05d973975ea

FLUX.1 Kontext [pro] image SHA 256: d14a3243cc28d6996fd549722f34d49227f278151c441fa635f955e1c8140414

The numbers at a glance

Arena ratingfrom votes by users · higher is better

n/a

Stable Diffusion 3.5 Large Turbo

not in the arena

n/a

FLUX.1 Kontext [pro]

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Stable Diffusion 3.5 Large Turbo

Rank 88 of 108

FLUX.1 Kontext [pro]

Rank 69 of 108

Price per imagedollars through the API · lower is better

n/a

Stable Diffusion 3.5 Large Turbo

no API price

n/a

FLUX.1 Kontext [pro]

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.

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.

FLUX.1 Kontext [pro]

Subscription: No Black Forest Labs subscription includes this model. Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 23 plans in Germany.
Via API: No API price known. Access: API.
Weights: unknown.

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.

Kennzahl	Stable Diffusion 3.5 Large Turbo	FLUX.1 Kontext [pro]
Ratings
Arena ratingfrom votes by users, higher is better	n/a	n/a
Arena rank	n/a	n/a
Arena votesmore votes, a safer rating	n/a	n/a
GraduallyBenchour own rating, 0 to 100	27	39
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	26	19
Product photographyMaterials, reflections, and fine details	15	36
Character and detailAnatomy, clothing, and spatial consistency	51	50
InfographicNumbers, labels, and visual organization	17	53
API price
Per imagelower is better	n/a	n/a
100 images	n/a	n/a
Profile
Released	Oct 22, 2024	n/a
Weightsopen means: runs locally	open	unknown
Lifecycle	no notice	Edit-first model line; API also supports image creation from text, but the main GraduallyBench tasks are not edit-based
Access	API, local	API
Parameters	not published	not published
Largest output	not consistently published	not consistently published
Plans in Germanynaming exactly this model	n/a	23

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

Sources: Stable Diffusion 3.5 Large Turbo model source (verified Nov 1, 2026) · FLUX.1 Kontext [pro] 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 Stable Diffusion 3.5 Large Turbo and FLUX.1 Kontext [pro] from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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