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GPT Image 2.5 Flarevs.Stable Diffusion Turbo

Which one is better?

In our own test, GPT Image 2.5 Flare leads. Stable Diffusion Turbo has no arena rating yet. Stable Diffusion Turbo has no API price.

Test images

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

GPT Image 2.5 Flare: Infographic, first image from the fixed test run
GPT Image 2.5 Flare91 out of 100
Stable Diffusion Turbo: Infographic, first image from the fixed test run
Stable Diffusion Turbo5 out of 100

Result for “Infographic”:GPT Image 2.5 Flare 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 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:53 PM. Source

Stable Diffusion Turbo: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/sd-turbo@b261bac6fd2cf515557d5d0707481eafa0485ec2; native 1024x1024, 1:1; one request, first output; steps=1, guidance=0.0, seed=5483236571890770311; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native tokenizer truncation: tokenizer 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:17 PM. Source

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

GPT Image 2.5 Flare image SHA 256: 85b17c41b19389cae3ea073ef582e6065a321d741978e772987d22e3ea3e3b08

Stable Diffusion Turbo image SHA 256: 291b69ba3d375bfa017c782f61521b705d67708ed5e1be9350d55d486ad6f1d1

Infographic

GPT Image 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:53 PM. Source

Stable Diffusion Turbo: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/sd-turbo@b261bac6fd2cf515557d5d0707481eafa0485ec2; native 1024x1024, 1:1; one request, first output; steps=1, guidance=0.0, seed=8161577731918994504; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:18 PM. Source

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

GPT Image 2.5 Flare image SHA 256: bc752abfce1c0d27b73e4084c3e7d82c4c0f71e0e5af97a80f4b24326cc4686e

Stable Diffusion Turbo image SHA 256: 80a2687dbc408395b416994d4853332427d09fccead1a6229564cc25b32de7e6

Product photography

GPT Image 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:53 PM. Source

Stable Diffusion Turbo: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/sd-turbo@b261bac6fd2cf515557d5d0707481eafa0485ec2; native 1024x1024, 1:1; one request, first output; steps=1, guidance=0.0, seed=2124044582169182899; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native tokenizer truncation: tokenizer 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:16 PM. Source

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

GPT Image 2.5 Flare image SHA 256: 69fedb7d635d1329c461ff1ee9e5cf8384119e218e3b3bdb93b9e11f728335d8

Stable Diffusion Turbo image SHA 256: 13dcbe6eb77495317a03f3eed013c4358ae7466fca00d9f869e512279a8a2af6

Typography and layout

GPT Image 2.5 Flare: openai, 1024x1024, quality high, n=1, generated Sep 28, 2026, 8:52 PM. Source

Stable Diffusion Turbo: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/sd-turbo@b261bac6fd2cf515557d5d0707481eafa0485ec2; native 1024x1024, 1:1; one request, first output; steps=1, guidance=0.0, seed=2303175353176269810; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:16 PM. Source

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

GPT Image 2.5 Flare image SHA 256: cc90d54a99e1bad9e0cc8e4196746fb1d56a2fdd2a9ee101dbbf270ef5e4b6a8

Stable Diffusion Turbo image SHA 256: 7def19e4f4adf68244ff69e5873b9f465ecd158fb4abab0273443bfc3804438e

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,399

GPT Image 2.5 Flare

Rank 2 of 21

n/a

Stable Diffusion Turbo

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
72

GPT Image 2.5 Flare

Rank 18 of 108

3

Stable Diffusion Turbo

Rank 108 of 108

Price per imagedollars through the API · lower is better
$0.21

GPT Image 2.5 Flare

expensive

n/a

Stable Diffusion 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 2.5 Flare

Subscription
No OpenAI subscription includes this model. Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 61 plans in Germany.
Via API
$0.21 per image, 100 images $21.07.

Stable Diffusion 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.

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 2.5 FlareStable Diffusion Turbo
Ratings
Arena ratingfrom votes by users, higher is better1,399n/a
Arena rankRank 2 of 21n/a
Arena votesmore votes, a safer rating53,925n/a
GraduallyBenchour own rating, 0 to 100723
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition640
Product photographyMaterials, reflections, and fine details691
Character and detailAnatomy, clothing, and spatial consistency635
InfographicNumbers, labels, and visual organization915
API price
Per imagelower is better$0.21n/a
100 images$21.07n/a
Profile
ReleasedSep 8, 2026n/a
Weightsopen means: runs locallyproprietaryopen
Lifecycleno noticeOlder open fast checkpoint; no active hosted API ID claimed in the reviewed model list
AccessAPIlocal
Parametersnot publishednot published
Largest outputnot consistently publishednot consistently published
Plans in Germanynaming exactly this model61n/a

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

Sources: GPT Image 2.5 Flare model source (verified Sep 22, 2026) · Stable Diffusion Turbo 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 GPT Image 2.5 Flare and Stable Diffusion Turbo from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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