HiDream-O1-Image-1.5vs.Kandinsky-5.0-T2I-Lite-Pretrain

Which one is better?

In our own test, HiDream-O1-Image-1.5 leads. Neither is in the arena. Kandinsky-5.0-T2I-Lite-Pretrain has no API price.

Test images

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

HiDream-O1-Image-1.5: Typography and layout, first image from the fixed test run — HiDream-O1-Image-1.576 out of 100

Kandinsky-5.0-T2I-Lite-Pretrain: Typography and layout, first image from the fixed test run — Kandinsky-5.0-T2I-Lite-Pretrain16 out of 100

Result for “Typography and layout”:HiDream-O1-Image-1.5 ahead

Prompt given to both modelsCreate a square editorial poster for an imaginary night train called MONDFALTER. Show the exact German headline MONDFALTER and the exact subline BERLIN NACH LISSABON. Use a restrained midnight-blue and warm-cream palette, one stylized moth, strong Swiss-grid typography, generous negative space, and no additional words or logos.

What the rating looks at: Legible text, hierarchy, and composition.

“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

HiDream-O1-Image-1.5: manual, one request, first output, HiDream O1 Image 1.5, 1:1, 2K, n=1, no reference image, no negative prompt, Vivago web, 2 free credits, source 2048x2048, stored 1024x1024 (Lanczos3 downscale), generated Aug 16, 2026, 1:07 PM. Source

Kandinsky-5.0-T2I-Lite-Pretrain: manual, local PyTorch 2.13.0, Diffusers 0.36.0; kandinskylab/Kandinsky-5.0-T2I-Lite-pretrain-Diffusers@0df26d22e3290e9778b0471457d651a51d83ae3d; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=893590444446603478; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoders; float32 for transformer and CPU VAE; native tokenizer truncation: CLIP 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 8:56 PM. Source

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

HiDream-O1-Image-1.5 image SHA 256: 99db95d2f6f00dc7f8872b5562b7577a49065a120d15fc54f687ba624fe4cf6e

Kandinsky-5.0-T2I-Lite-Pretrain image SHA 256: af9bdf8492b30fdaeb79b8f51d168a948d43ee1bbb29107f50a2f794db91a2e0

Infographic

Kandinsky-5.0-T2I-Lite-Pretrain: manual, local PyTorch 2.13.0, Diffusers 0.36.0; kandinskylab/Kandinsky-5.0-T2I-Lite-pretrain-Diffusers@0df26d22e3290e9778b0471457d651a51d83ae3d; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=6008496123190594626; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoders; float32 for transformer and CPU VAE, generated Nov 2, 2026, 9:08 PM. Source

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

HiDream-O1-Image-1.5 image SHA 256: 073d00d82d82a05c20f9117a18e71e21fe0300fd9f4985608be09726b1ee70a8

Kandinsky-5.0-T2I-Lite-Pretrain image SHA 256: 6d1a99203c55f6a9ba5853aae207dfc5e264adc73b336253fae874f0243bd60e

Product photography

Kandinsky-5.0-T2I-Lite-Pretrain: manual, local PyTorch 2.13.0, Diffusers 0.36.0; kandinskylab/Kandinsky-5.0-T2I-Lite-pretrain-Diffusers@0df26d22e3290e9778b0471457d651a51d83ae3d; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=8854898730028115945; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoders; float32 for transformer and CPU VAE; native tokenizer truncation: CLIP 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 8:46 PM. Source

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

HiDream-O1-Image-1.5 image SHA 256: 98de28b81a3551441936ce2ebcc0b418e69e9d5cf6ce8b1dc281bc90b05731dc

Kandinsky-5.0-T2I-Lite-Pretrain image SHA 256: 83169f5969d6ed636c5ba8ff01236290417a5942deec1089b4725cfeb0dc2b76

Typography and layout

Kandinsky-5.0-T2I-Lite-Pretrain: manual, local PyTorch 2.13.0, Diffusers 0.36.0; kandinskylab/Kandinsky-5.0-T2I-Lite-pretrain-Diffusers@0df26d22e3290e9778b0471457d651a51d83ae3d; native 1024x1024, 1:1; one request, first output; steps=50, guidance=3.5, seed=9114026266664490789; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoders; float32 for transformer and CPU VAE, generated Nov 2, 2026, 8:36 PM. Source

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

HiDream-O1-Image-1.5 image SHA 256: db5acbc9b443ea381bf6294997720fa246cf8a199f91d451aa1d7242fc4a348a

Kandinsky-5.0-T2I-Lite-Pretrain image SHA 256: 89cd2a1137d4d2ceb46c44b030f889bb3b14ac96ae190d2eb271dff02cfb5b74

The numbers at a glance

Arena ratingfrom votes by users · higher is better

n/a

HiDream-O1-Image-1.5

not in the arena

n/a

Kandinsky-5.0-T2I-Lite-Pretrain

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

HiDream-O1-Image-1.5

Rank 38 of 108

Kandinsky-5.0-T2I-Lite-Pretrain

Rank 86 of 108

Price per imagedollars through the API · lower is better

$0.08

HiDream-O1-Image-1.5

fairly expensive

n/a

Kandinsky-5.0-T2I-Lite-Pretrain

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.

HiDream-O1-Image-1.5

Subscription: n/a No plan in Germany names exactly this model.
Via API: $0.08 per image, 100 images $8.

Kandinsky-5.0-T2I-Lite-Pretrain

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.

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.

Kennzahl	HiDream-O1-Image-1.5	Kandinsky-5.0-T2I-Lite-Pretrain
Ratings
Arena ratingfrom votes by users, higher is better	n/a	n/a
Arena rank	n/a	n/a
Arena votesmore votes, a safer rating	n/a	n/a
GraduallyBenchour own rating, 0 to 100	65	28
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	76	16
Product photographyMaterials, reflections, and fine details	51	58
Character and detailAnatomy, clothing, and spatial consistency	58	14
InfographicNumbers, labels, and visual organization	76	23
API price
Per imagelower is better	$0.08	n/a
100 images	$8	n/a
Profile
Released	June 2026	n/a
Weightsopen means: runs locally	proprietary	open
Access	API, Web app	local
Parameters	not published	6 billion
Largest output	2,048 × 2,048 pixels	not consistently published
Plans in Germanynaming exactly this model	n/a	n/a

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

Sources: HiDream-O1-Image-1.5 model source (verified Sep 22, 2026) · Kandinsky-5.0-T2I-Lite-Pretrain 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 HiDream-O1-Image-1.5 and Kandinsky-5.0-T2I-Lite-Pretrain from the same arena and category. Older model versions are not used as substitutes.

More comparisons

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