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GPT Image 1.5vs.Stable Diffusion 3.5 Large Turbo

Which one is better?

In our own test, GPT Image 1.5 leads. Stable Diffusion 3.5 Large Turbo has no arena rating yet. Stable Diffusion 3.5 Large Turbo has no API price.

Test images

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

GPT Image 1.5: Infographic, first image from the fixed test run
GPT Image 1.572 out of 100
Stable Diffusion 3.5 Large Turbo: Infographic, first image from the fixed test run
Stable Diffusion 3.5 Large Turbo17 out of 100

Result for “Infographic”:GPT Image 1.5 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

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:17 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

GPT Image 1.5 image SHA 256: 0dff52ccd39400ac66ac8870c9ea937512ff1474688e70118688f420c38c2296

Stable Diffusion 3.5 Large Turbo image SHA 256: 312460ab73a4a22292bf6fbce099d86a22b0b8418f1516351f12f181b5574c76

Infographic

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:17 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

GPT Image 1.5 image SHA 256: 1c9ff59c32621c8b48b002dacb0ae66487262280c7c0a5b3d6456c81b248ebe9

Stable Diffusion 3.5 Large Turbo image SHA 256: 16be803360e5a8025715fd221a0a623d1d68dc1ef38063d12c5abc1298e68d69

Product photography

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:16 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

GPT Image 1.5 image SHA 256: 67cfa2f324447027ceb5f82e9446d40a1395b46ce425890a74606b4d97731cf6

Stable Diffusion 3.5 Large Turbo image SHA 256: 1d9665660c7b05a58edc1b68c7f9d773ec4fbcaa41f15d3d691df764d5314b82

Typography and layout

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 1:59 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

GPT Image 1.5 image SHA 256: 6a4cec86850fd371b65274198e2bf630b3cf36a096f9fb953d4bfe17c3222ebe

Stable Diffusion 3.5 Large Turbo image SHA 256: e50fd19573ee42b2d6419b51f45bf29e04931ae1b583868d340fc05d973975ea

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,236

GPT Image 1.5

Rank 13 of 21

n/a

Stable Diffusion 3.5 Large Turbo

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
68

GPT Image 1.5

Rank 29 of 108

27

Stable Diffusion 3.5 Large Turbo

Rank 88 of 108

Price per imagedollars through the API · lower is better
$0.13

GPT Image 1.5

expensive

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.

GPT Image 1.5

Subscription
No OpenAI subscription includes this model. Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 42 plans in Germany.
Via API
$0.13 per image, 100 images $13.30.

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.

Arena rating (LMArena) from Nov 6, 2026 · 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.

KennzahlGPT Image 1.5Stable Diffusion 3.5 Large Turbo
Ratings
Arena ratingfrom votes by users, higher is better1,236n/a
Arena rankRank 13 of 21n/a
Arena votesmore votes, a safer rating173,798n/a
GraduallyBenchour own rating, 0 to 1006827
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition6026
Product photographyMaterials, reflections, and fine details5215
Character and detailAnatomy, clothing, and spatial consistency8951
InfographicNumbers, labels, and visual organization7217
API price
Per imagelower is better$0.13n/a
100 images$13.30n/a
Profile
ReleasedDecember 2025Oct 22, 2024
Weightsopen means: runs locallyproprietaryopen
LifecycleMarked as deprecated by OpenAI; removed from the API on December 1, 2026no notice
AccessAPI, Web appAPI, local
Parametersnot publishednot published
Largest output1,536 × 1,024 pixelsnot consistently published
Plans in Germanynaming exactly this model42n/a

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

Sources: GPT Image 1.5 model source, status source (verified Aug 15, 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 GPT Image 1.5 and Stable Diffusion 3.5 Large Turbo from the same arena and category. Older model versions are not used as substitutes.

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