Stable Diffusion 3.5 Largevs.Ideogram 4.5
Which one is better?
In our own test, Ideogram 4.5 leads. Ideogram 4.5 has no arena rating yet. Stable Diffusion 3.5 Large has no API price.
Same prompt, two images
Same task, the first image of each. The task with the biggest difference is preselected.
Result for “Infographic”:Ideogram 4.5 ahead
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
Both models receive the same archived prompt in exactly one request, and the first result counts. 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
Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=7087247023770270000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source
Ideogram 4.5: fal, requested 1024x1024, n=1, seed=676327336, prompt expansion disabled, quality low, estimated cost $0.030000, generated Nov 1, 2026, 8:44 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Stable Diffusion 3.5 Large image SHA 256: e748006fe56e442ad347e3f994f18b86ee1739f20dcee063aa7a03ee710c5d54
Ideogram 4.5 image SHA 256: 765cb852ecb10a396bad4bd18c2dc9fcc77221ffff3f0b94ef9eccf4d190b418
Infographic
Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=12166653711354006000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source
Ideogram 4.5: fal, requested 1024x1024, n=1, seed=1482950298, prompt expansion disabled, quality low, estimated cost $0.030000, generated Nov 1, 2026, 8:44 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Stable Diffusion 3.5 Large image SHA 256: 4eb0fd741ef42e6d3fee4b1280cdfb098a0a04009b139051963895892e349f1e
Ideogram 4.5 image SHA 256: c97b4321e68bf1617a4dc96b5e1f9372344b09b9ff987f07d0e9813e6210c656
Product photography
Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=13346308312015933000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source
Ideogram 4.5: fal, requested 1024x1024, n=1, seed=1376877115, prompt expansion disabled, quality low, estimated cost $0.030000, generated Nov 1, 2026, 8:44 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Stable Diffusion 3.5 Large image SHA 256: ea9a7401dee8859ec2cb96af9f7ca29a177ef2202f52f629d8ce9f5839bd4061
Ideogram 4.5 image SHA 256: b9427281a64b3103f52f439b8797bd11763f813a8ef142bf79d96e936b349ae1
Typography and layout
Stable Diffusion 3.5 Large: fal, requested 1024x1024, n=1, seed=16632333557910893000, estimated cost $0.068157, generated Aug 14, 2026, 2:37 PM. Source
Ideogram 4.5: fal, requested 1024x1024, n=1, seed=988679089, prompt expansion disabled, quality low, estimated cost $0.030000, generated Nov 1, 2026, 8:44 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Stable Diffusion 3.5 Large image SHA 256: e2994b1883a245b1c8c447957d121ea89d93aafff149029aa4e8507dbb769f9a
Ideogram 4.5 image SHA 256: ebe1fe3dccf258807db9a9063c1034185c1b3e91f0d8c9bd86c53525d374dd9c
The numbers at a glance
Stable Diffusion 3.5 Large
Rank 22 of 22
Ideogram 4.5
not in the arena
Stable Diffusion 3.5 Large
Rank 67 of 74
Ideogram 4.5
Rank 38 of 74
Stable Diffusion 3.5 Large
no API price
Ideogram 4.5
expensive
Ranks among the 22 image models with an arena rating and the 74 with a GraduallyBench run; prices compared with 28 models with an API price.
Stable Diffusion 3.5 Large
- Subscription
- n/a No plan in Germany names exactly this model.
- Via API
- No API price known. Access: API, local.
- License
- Open weights.
Ideogram 4.5
- Subscription
- No Ideogram subscription includes this model. Through other providers from ≈ €9.59 a month (Krea Basic, with limited credits). 33 plans in Germany.
- Via API
- $0.10 per image, 100 images $10.
- Weights
- unknown.
Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.
Arena rating (LMArena) from Oct 28, 2026 · GraduallyBench from Nov 1, 2026 · API prices from Oct 28, 2026 · Subscription database from Sep 29, 2026 (34 days old)
All data side by side
The better value is bold. For ratings only when the gap is clear.
| Kennzahl | Stable Diffusion 3.5 Large | Ideogram 4.5 |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 938 | n/a |
| Arena rank | Rank 22 of 22 | n/a |
| Arena votesmore votes, a safer rating | 23,396 | n/a |
| GraduallyBenchour own rating, 0 to 100 | 18 | 56 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 11 | 16 |
| Product photographyMaterials, reflections, and fine details | 14 | 59 |
| Character and detailAnatomy, clothing, and spatial consistency | 23 | 68 |
| InfographicNumbers, labels, and visual organization | 23 | 82 |
| API price | ||
| Per imagelower is better | n/a | $0.10 |
| 100 images | n/a | $10 |
| Profile | ||
| Released | Oct 22, 2024 | n/a |
| Weightsopen means: runs locally | open | unknown |
| Access | API, local | API |
| Parameters | 8.1 billion | not published |
| Largest output | 1 Megapixel | not consistently published |
| Plans in Germanynaming exactly this model | n/a | 33 |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Stable Diffusion 3.5 Large model source (verified Aug 15, 2026) · Ideogram 4.5 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 Stable Diffusion 3.5 Large and Ideogram 4.5 from the same arena and category. Older model versions are not used as substitutes.
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