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HunyuanImage 3.0 Instructvs.Stable Diffusion XL 1.0

Which one is better?

In our own test, HunyuanImage 3.0 Instruct leads. Neither is in the arena. Neither has an API price.

Test images

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

HunyuanImage 3.0 Instruct: Product photography, first image from the fixed test run
HunyuanImage 3.0 Instruct88 out of 100
Stable Diffusion XL 1.0: Product photography, first image from the fixed test run
Stable Diffusion XL 1.013 out of 100

Result for “Product photography”:HunyuanImage 3.0 Instruct 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

HunyuanImage 3.0 Instruct: fal, requested 1024x1024, n=1, seed=480451513, prompt expansion disabled, estimated cost $0.094372, generated Aug 14, 2026, 1:51 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=268378870826470633; 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, tokenizer_2 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:07 PM. Source

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

HunyuanImage 3.0 Instruct image SHA 256: 7c813735994e5781c420b23e15898e1d4c8b9a83b24dae9c72e9d7b08fe7ceb4

Stable Diffusion XL 1.0 image SHA 256: 26d3c3d3e687614e24dd12191246bc1d96c1576d31f9211840a3e02b64d4d507

Infographic

HunyuanImage 3.0 Instruct: fal, requested 1024x1024, n=1, seed=1316714523, prompt expansion disabled, estimated cost $0.094372, generated Aug 14, 2026, 1:52 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=5455008934753613262; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:08 PM. Source

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

HunyuanImage 3.0 Instruct image SHA 256: a9c50516fcbe8008d3d67c0651882f7c712aff66ee244b7f8aa7b83c0a67aaab

Stable Diffusion XL 1.0 image SHA 256: ebfe8d1c223478c94ff1973ab2600cd4f696b40b8c3388ca40f26f52c83afdb2

Product photography

HunyuanImage 3.0 Instruct: fal, requested 1024x1024, n=1, seed=1892985637, prompt expansion disabled, estimated cost $0.094372, generated Aug 14, 2026, 1:51 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=490593220006868735; 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, tokenizer_2 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:06 PM. Source

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

HunyuanImage 3.0 Instruct image SHA 256: 89ed8da585fcce3df9f76584dfc426a5142fe3b950c79a306a7ce3b79746ed99

Stable Diffusion XL 1.0 image SHA 256: f59af9c84f6fbb3e4ca34bf87ebb0f7c088e8caa520fa4cdf815a96d1bffda83

Typography and layout

HunyuanImage 3.0 Instruct: fal, requested 1024x1024, n=1, seed=1326433162, prompt expansion disabled, estimated cost $0.094372, generated Aug 14, 2026, 2:41 PM. Source

Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=253938565953989943; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:05 PM. Source

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

HunyuanImage 3.0 Instruct image SHA 256: 4563cdd9bb047b4df3316484fcc4fe369ba6635f0360e434f45577d013468b6c

Stable Diffusion XL 1.0 image SHA 256: c81e5d0d70afcb53fcffb51a0d548041fd0b33df300aed14b8ecd354aaaaec4e

The numbers at a glance

Arena ratingfrom votes by users · higher is better
n/a

HunyuanImage 3.0 Instruct

not in the arena

n/a

Stable Diffusion XL 1.0

not in the arena

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

HunyuanImage 3.0 Instruct

Rank 19 of 108

13

Stable Diffusion XL 1.0

Rank 100 of 108

Price per imagedollars through the API · lower is better
n/a

HunyuanImage 3.0 Instruct

no API price

n/a

Stable Diffusion XL 1.0

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.

HunyuanImage 3.0 Instruct

Subscription
n/a No plan in Germany names exactly this model.
Via API
No API price known. Access: API, local.
License
Open weights.

Stable Diffusion XL 1.0

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.

GraduallyBench from Nov 3, 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.

KennzahlHunyuanImage 3.0 InstructStable Diffusion XL 1.0
Ratings
Arena ratingfrom votes by users, higher is bettern/an/a
Arena rankn/an/a
Arena votesmore votes, a safer ratingn/an/a
GraduallyBenchour own rating, 0 to 1007213
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition795
Product photographyMaterials, reflections, and fine details8813
Character and detailAnatomy, clothing, and spatial consistency5828
InfographicNumbers, labels, and visual organization615
API price
Per imagelower is bettern/an/a
100 imagesn/an/a
Profile
ReleasedJanuary 2026n/a
Weightsopen means: runs locallyopenopen
Lifecycleno noticeOlder open checkpoint; provider still lists it in its legacy model overview
AccessAPI, localAPI, local
Parameters80 billionnot published
Largest outputnot consistently publishednot consistently published
Plans in Germanynaming exactly this modeln/an/a

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

Sources: HunyuanImage 3.0 Instruct model source (verified Aug 15, 2026) · Stable Diffusion XL 1.0 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 HunyuanImage 3.0 Instruct and Stable Diffusion XL 1.0 from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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