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Grok Imagine Image 2.0vs.Stable Diffusion Turbo

Which one is better?

In our own test, Grok Imagine Image 2.0 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.

Grok Imagine Image 2.0: Infographic, first image from the fixed test run
Grok Imagine Image 2.077 out of 100
Stable Diffusion Turbo: Infographic, first image from the fixed test run
Stable Diffusion Turbo5 out of 100

Result for “Infographic”:Grok Imagine Image 2.0 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

Grok Imagine Image 2.0: openrouter, aspect ratio 1:1, resolution 1K, quality medium, n=1, seed=provider random, actual cost $0.060000, generated Nov 1, 2026, 8:46 AM. 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

Grok Imagine Image 2.0 image SHA 256: 95148f93193910361a680d5cff305d51bb06d967cb8b35e7ec732bd8501beccc

Stable Diffusion Turbo image SHA 256: 291b69ba3d375bfa017c782f61521b705d67708ed5e1be9350d55d486ad6f1d1

Infographic

Grok Imagine Image 2.0: openrouter, aspect ratio 1:1, resolution 1K, quality medium, n=1, seed=provider random, actual cost $0.060000, generated Nov 1, 2026, 8:47 AM. 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

Grok Imagine Image 2.0 image SHA 256: 732d7d3978293b5acd7aba0ec8534056bfa9bd5f6d2024c5eb7275d5bf203ba6

Stable Diffusion Turbo image SHA 256: 80a2687dbc408395b416994d4853332427d09fccead1a6229564cc25b32de7e6

Product photography

Grok Imagine Image 2.0: openrouter, aspect ratio 1:1, resolution 1K, quality medium, n=1, seed=provider random, actual cost $0.060000, generated Nov 1, 2026, 8:45 AM. 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

Grok Imagine Image 2.0 image SHA 256: 57f2809d2dc95671f5207c2cfc25f629c05be17edfe9bf87ca42d3d33119200e

Stable Diffusion Turbo image SHA 256: 13dcbe6eb77495317a03f3eed013c4358ae7466fca00d9f869e512279a8a2af6

Typography and layout

Grok Imagine Image 2.0: openrouter, aspect ratio 1:1, resolution 1K, quality medium, n=1, seed=provider random, actual cost $0.060000, generated Nov 1, 2026, 8:44 AM. 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

Grok Imagine Image 2.0 image SHA 256: 4dae1c4c90d277eed2983780d71f40b4758238ea15a020047c1329fb220e5b51

Stable Diffusion Turbo image SHA 256: 7def19e4f4adf68244ff69e5873b9f465ecd158fb4abab0273443bfc3804438e

The numbers at a glance

Arena ratingfrom votes by users · higher is better
1,317

Grok Imagine Image 2.0

Rank 5 of 21

n/a

Stable Diffusion Turbo

not in the arena

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

Grok Imagine Image 2.0

Rank 16 of 108

3

Stable Diffusion Turbo

Rank 108 of 108

Price per imagedollars through the API · lower is better
$0.06

Grok Imagine Image 2.0

fairly cheap

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.

Grok Imagine Image 2.0

Subscription
No xAI subscription includes this model. Through other providers from ≈ €15.90 a month (Runway Standard, with limited credits). 5 plans in Germany.
Via API
$0.06 per image, 100 images $6.

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.

KennzahlGrok Imagine Image 2.0Stable Diffusion Turbo
Ratings
Arena ratingfrom votes by users, higher is better1,317n/a
Arena rankRank 5 of 21n/a
Arena votesmore votes, a safer rating10,830n/a
GraduallyBenchour own rating, 0 to 100733
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition710
Product photographyMaterials, reflections, and fine details681
Character and detailAnatomy, clothing, and spatial consistency755
InfographicNumbers, labels, and visual organization775
API price
Per imagelower is better$0.06n/a
100 images$6n/a
Profile
ReleasedAug 7, 2026n/a
Weightsopen means: runs locallyproprietaryopen
Lifecycleno noticeOlder open fast checkpoint; no active hosted API ID claimed in the reviewed model list
AccessAPI, Web applocal
Parametersnot publishednot published
Largest output2Knot consistently published
Plans in Germanynaming exactly this model5n/a

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

Sources: Grok Imagine Image 2.0 model source (verified Sep 28, 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 Grok Imagine Image 2.0 and Stable Diffusion Turbo from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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