Stable Diffusion 3.5 Largevs.FLUX.1 Kontext [max]

Which one is better?

In our own test both are on par. FLUX.1 Kontext [max] has no arena rating yet. Neither has an API price.

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

Stable Diffusion 3.5 Large: Infographic, first image from the fixed test run — Stable Diffusion 3.5 Large23 out of 100

FLUX.1 Kontext [max]: Infographic, first image from the fixed test run — FLUX.1 Kontext [max]44 out of 100

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

Both models receive the same archived prompt in exactly one request, and the first result counts. 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: fal, requested 1024x1024, n=1, seed=7087247023770270000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=2413815648, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: e748006fe56e442ad347e3f994f18b86ee1739f20dcee063aa7a03ee710c5d54

FLUX.1 Kontext [max] image SHA 256: 11ac5858ed56d1db44139faebd83b9aa3e13fb9e8cadd6748d4bfc9a20a7b85b

Infographic

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=12166653711354006000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=372152929, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: 4eb0fd741ef42e6d3fee4b1280cdfb098a0a04009b139051963895892e349f1e

FLUX.1 Kontext [max] image SHA 256: cf1d34943829e1361560aee05277bb096e19399f7d231ee114ba1e6d3a865787

Product photography

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=13346308312015933000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=314349008, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:03 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: ea9a7401dee8859ec2cb96af9f7ca29a177ef2202f52f629d8ce9f5839bd4061

FLUX.1 Kontext [max] image SHA 256: 85f361575b24f97fc43e88b3fdc8e6c12fb1077d95f11d1704447222bac13f59

Typography and layout

Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=16632333557910893000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source

FLUX.1 Kontext [max]: fal, aspect ratio 1:1, n=1, seed=4136483547, Fal schema has no resolution field; official 1:1 example returns 1024x1024, estimated cost $0.080000, generated Nov 1, 2026, 9:02 PM. Source

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

Stable Diffusion 3.5 Large image SHA 256: e2994b1883a245b1c8c447957d121ea89d93aafff149029aa4e8507dbb769f9a

FLUX.1 Kontext [max] image SHA 256: f0591cb9970c7608e7bf3a52c32c88301b622673e3c250fd9dd41d32e1673f1c

The numbers at a glance

Arena ratingfrom votes by users · higher is better

938

Stable Diffusion 3.5 Large

Rank 22 of 22

n/a

FLUX.1 Kontext [max]

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

Stable Diffusion 3.5 Large

Rank 67 of 74

FLUX.1 Kontext [max]

Rank 65 of 74

Price per imagedollars through the API · lower is better

n/a

Stable Diffusion 3.5 Large

no API price

n/a

FLUX.1 Kontext [max]

no API price

Ranks among the 22 image models with an arena rating and the 74 with a GraduallyBench run; prices compared with 28 models with an API price.

Stable Diffusion 3.5 Large

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 [max]

Subscription: No Black Forest Labs subscription includes this model. Through other providers from ≈ €12.78 a month (Leonardo.Ai Essential). 15 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.

Arena rating (LMArena) from Oct 28, 2026 · GraduallyBench from Nov 1, 2026 · Subscription database from Sep 29, 2026 (34 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	FLUX.1 Kontext [max]
Ratings
Arena ratingfrom votes by users, higher is better	938	n/a
Arena rank	Rank 22 of 22	n/a
Arena votesmore votes, a safer rating	23,396	n/a
GraduallyBenchour own rating, 0 to 100	18	22
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	11	25
Product photographyMaterials, reflections, and fine details	14	9
Character and detailAnatomy, clothing, and spatial consistency	23	9
InfographicNumbers, labels, and visual organization	23	44
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	8.1 billion	not published
Largest output	1 Megapixel	not consistently published
Plans in Germanynaming exactly this model	n/a	15

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

Sources: Stable Diffusion 3.5 Large model source (verified Aug 15, 2026) · FLUX.1 Kontext [max] 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 and FLUX.1 Kontext [max] from the same arena and category. Older model versions are not used as substitutes.

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More matchups

Compare Stable Diffusion 3.5 Large and FLUX.1 Kontext [max] with other important image models.

View the complete image model comparison

Same prompt, two images

The numbers at a glance

Stable Diffusion 3.5 Large

FLUX.1 Kontext [max]

All data side by side

Arena ratings by category

No shared arena score in the stored snapshot

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