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Grok Imagine Image 2.0vs.PixArt-Sigma-XL-2-1024-MS

Which one is better?

In our own test, Grok Imagine Image 2.0 leads. PixArt-Sigma-XL-2-1024-MS has no arena rating yet. PixArt-Sigma-XL-2-1024-MS 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
PixArt-Sigma-XL-2-1024-MS: Infographic, first image from the fixed test run
PixArt-Sigma-XL-2-1024-MS5 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

PixArt-Sigma-XL-2-1024-MS: manual, local PyTorch 2.13.0, Diffusers 0.36.0; PixArt-alpha/PixArt-Sigma-XL-2-1024-MS@e102b3591cc82e97071b8b4cb90d834d0c487207; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=7226279879395584696; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input, generated Nov 2, 2026, 5:58 PM. Source

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

Grok Imagine Image 2.0 image SHA 256: 95148f93193910361a680d5cff305d51bb06d967cb8b35e7ec732bd8501beccc

PixArt-Sigma-XL-2-1024-MS image SHA 256: bde9f05db045ee4e3776436ec99b67b4ab2b1e1d98e7f3b9b389116880584dfa

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

PixArt-Sigma-XL-2-1024-MS: manual, local PyTorch 2.13.0, Diffusers 0.36.0; PixArt-alpha/PixArt-Sigma-XL-2-1024-MS@e102b3591cc82e97071b8b4cb90d834d0c487207; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=3371899936485956023; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input, generated Nov 2, 2026, 5:59 PM. Source

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

Grok Imagine Image 2.0 image SHA 256: 732d7d3978293b5acd7aba0ec8534056bfa9bd5f6d2024c5eb7275d5bf203ba6

PixArt-Sigma-XL-2-1024-MS image SHA 256: a1a6e8b2545200a59deb0cef3614e7421a91014fcb31e4e2725cc40ca1730017

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

PixArt-Sigma-XL-2-1024-MS: manual, local PyTorch 2.13.0, Diffusers 0.36.0; PixArt-alpha/PixArt-Sigma-XL-2-1024-MS@e102b3591cc82e97071b8b4cb90d834d0c487207; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=2926417222682566089; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input, generated Nov 2, 2026, 5:58 PM. Source

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

Grok Imagine Image 2.0 image SHA 256: 57f2809d2dc95671f5207c2cfc25f629c05be17edfe9bf87ca42d3d33119200e

PixArt-Sigma-XL-2-1024-MS image SHA 256: 2012912767607d877602f52cd6766af87520f70db960cda065baa5282c377b51

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

PixArt-Sigma-XL-2-1024-MS: manual, local PyTorch 2.13.0, Diffusers 0.36.0; PixArt-alpha/PixArt-Sigma-XL-2-1024-MS@e102b3591cc82e97071b8b4cb90d834d0c487207; native 1024x1024, 1:1; one request, first output; steps=20, guidance=4.5, seed=154650094805927878; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native prompt preprocessing lowercases input, generated Nov 2, 2026, 5:57 PM. Source

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

Grok Imagine Image 2.0 image SHA 256: 4dae1c4c90d277eed2983780d71f40b4758238ea15a020047c1329fb220e5b51

PixArt-Sigma-XL-2-1024-MS image SHA 256: 07f61240d9329bf99f8a3d21b7b437c65c4eeb1780c8f1164e0c8baf2a0f7085

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

PixArt-Sigma-XL-2-1024-MS

not in the arena

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

Grok Imagine Image 2.0

Rank 16 of 108

13

PixArt-Sigma-XL-2-1024-MS

Rank 99 of 108

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

Grok Imagine Image 2.0

fairly cheap

n/a

PixArt-Sigma-XL-2-1024-MS

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.

PixArt-Sigma-XL-2-1024-MS

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 2.0PixArt-Sigma-XL-2-1024-MS
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 1007313
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition713
Product photographyMaterials, reflections, and fine details6816
Character and detailAnatomy, clothing, and spatial consistency7527
InfographicNumbers, labels, and visual organization775
API price
Per imagelower is better$0.06n/a
100 images$6n/a
Profile
ReleasedAug 7, 2026Apr 9, 2024
Weightsopen means: runs locallyproprietaryopen
AccessAPI, Web applocal
Parametersnot published0.6 billion
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) · PixArt-Sigma-XL-2-1024-MS 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 Grok Imagine Image 2.0 and PixArt-Sigma-XL-2-1024-MS from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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