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GPT Image 2vs.AuraFlow v0.3

Which one is better?

In our own test, GPT Image 2 leads. AuraFlow v0.3 has no arena rating yet. AuraFlow v0.3 has no API price.

Test images

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

GPT Image 2: Product photography, first image from the fixed test run
GPT Image 289 out of 100
AuraFlow v0.3: Product photography, first image from the fixed test run
AuraFlow v0.315 out of 100

Result for “Product photography”:GPT Image 2 ahead

Prompt given to both modelsCreate a square premium product photograph of a brushed titanium wristwatch standing upright on dark green marble. The watch has a cream dial, thin black hands set to 10:10, twelve distinct hour markers, a realistic crown, and a dark brown leather strap. Soft window light from the left, controlled reflections, shallow depth of field, no text, no logo, no extra objects.

What the rating looks at: Materials, reflections, and fine details.

“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: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:13 PM. Source

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=8761677709905735111; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:42 PM. Source

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

GPT Image 2 image SHA 256: 82f6e2369ab4fb6efb0ef48feeff0d14f1d6087c64c35113a983456f0f0879ac

AuraFlow v0.3 image SHA 256: 9d0f14ca671e82f18947b9a0d7d7587e372cb4f515ce028434fac4efbd937155

Infographic

GPT Image 2: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:14 PM. Source

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=3793893866514060497; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:47 PM. Source

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

GPT Image 2 image SHA 256: 6c15466e258e2b14a8e862959cb6a67b4f7a23896ea5d42c5a5618d848847711

AuraFlow v0.3 image SHA 256: d2a4ecc1c165bc861ca60133d9ff95dc9d5b1d5320763be92c8168ff8c3b8166

Product photography

GPT Image 2: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:13 PM. Source

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=4682738952817248216; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:37 PM. Source

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

GPT Image 2 image SHA 256: 471c71b30618afb1a8a67ab8363308d67f99c65ef6740ca72417806d06d3c346

AuraFlow v0.3 image SHA 256: 6889065a427cc29bc1c0a53b0ad0662eb24f4be885148b0ebb8f6d945bbd4749

Typography and layout

GPT Image 2: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 1:59 PM. Source

AuraFlow v0.3: manual, local PyTorch 2.13.0, Diffusers 0.36.0; fal/AuraFlow-v0.3@2cd8588f04c886002be4571697d84654a50e3af3; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=7437917803059710684; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:31 PM. Source

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

GPT Image 2 image SHA 256: 434cf9939b9be2a2c2711e13d027c9438c47038bb32229ceeaf405d2e89d2afc

AuraFlow v0.3 image SHA 256: b6c221541210743564f6921b5e0bbc227c4d2246f6410cb0c1779c7c58d9460d

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,382

GPT Image 2

Rank 3 of 21

n/a

AuraFlow v0.3

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better
73

GPT Image 2

Rank 15 of 108

12

AuraFlow v0.3

Rank 102 of 108

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

GPT Image 2

expensive

n/a

AuraFlow v0.3

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

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 $21.10.

AuraFlow v0.3

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 2AuraFlow v0.3
Ratings
Arena ratingfrom votes by users, higher is better1,382n/a
Arena rankRank 3 of 21n/a
Arena votesmore votes, a safer rating106,737n/a
GraduallyBenchour own rating, 0 to 1007312
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition7511
Product photographyMaterials, reflections, and fine details8915
Character and detailAnatomy, clothing, and spatial consistency6016
InfographicNumbers, labels, and visual organization667
API price
Per imagelower is better$0.21n/a
100 images$21.10n/a
Profile
ReleasedApril 2026n/a
Weightsopen means: runs locallyproprietaryopen
AccessAPI, Web applocal
Parametersnot published7 billion
Largest output4K1,536 × 1,536 pixels
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 model source (verified Aug 15, 2026) · AuraFlow v0.3 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 2 and AuraFlow v0.3 from the same arena and category. Older model versions are not used as substitutes.

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