GPT Image 1.5vs.Chroma1-HD

Which one is better?

In our own test, GPT Image 1.5 leads. Chroma1-HD has no arena rating yet. Chroma1-HD has no API price.

Test images

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

GPT Image 1.5: Character and detail, first image from the fixed test run — GPT Image 1.589 out of 100

Chroma1-HD: Character and detail, first image from the fixed test run — Chroma1-HD17 out of 100

Result for “Character and detail”:GPT Image 1.5 ahead

Prompt given to both modelsCreate a square cinematic full-body portrait of a fictional bicycle courier waiting under a transparent umbrella at a rainy tram stop in Hamburg at blue hour. She wears a mustard raincoat, navy trousers, red sneakers, a silver helmet, and carries a teal messenger bag. Keep both hands visible, render the bicycle correctly, use realistic wet-street reflections, and include no readable brand names.

What the rating looks at: Anatomy, clothing, and spatial consistency.

“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

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:17 PM. Source

Chroma1-HD: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-HD@0e0c60ece1e82b17cb7f77342d765ba5024c40c0; native 1024x1024, 1:1; one request, first output; steps=40, guidance=3.0, seed=4845693986590311438; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 7:16 PM. Source

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

GPT Image 1.5 image SHA 256: 0dff52ccd39400ac66ac8870c9ea937512ff1474688e70118688f420c38c2296

Chroma1-HD image SHA 256: 7ca51c510884638a4d8c09d0e361e2bf0328c466d36ec4235f5305580dc10a8a

Infographic

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:17 PM. Source

Chroma1-HD: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-HD@0e0c60ece1e82b17cb7f77342d765ba5024c40c0; native 1024x1024, 1:1; one request, first output; steps=40, guidance=3.0, seed=3726635088695005336; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 7:22 PM. Source

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

GPT Image 1.5 image SHA 256: 1c9ff59c32621c8b48b002dacb0ae66487262280c7c0a5b3d6456c81b248ebe9

Chroma1-HD image SHA 256: 834ab94e5514295d56b66f606572d348fc4b5d1cdeba5874921c79c00774c76a

Product photography

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 12:16 PM. Source

Chroma1-HD: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-HD@0e0c60ece1e82b17cb7f77342d765ba5024c40c0; native 1024x1024, 1:1; one request, first output; steps=40, guidance=3.0, seed=7965145008513162443; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 7:10 PM. Source

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

GPT Image 1.5 image SHA 256: 67cfa2f324447027ceb5f82e9446d40a1395b46ce425890a74606b4d97731cf6

Chroma1-HD image SHA 256: 8a0ebbb527f4db84a42a98a256333b00b4dc5ffae699a31b694f36bf34613e4b

Typography and layout

GPT Image 1.5: together, 1024x1024, n=1, seed=provider random, provider default steps, generated Aug 14, 2026, 1:59 PM. Source

Chroma1-HD: manual, local PyTorch 2.13.0, Diffusers 0.36.0; lodestones/Chroma1-HD@0e0c60ece1e82b17cb7f77342d765ba5024c40c0; native 1024x1024, 1:1; one request, first output; steps=40, guidance=3.0, seed=2582507270187158929; mps for text encoder and denoising; cpu for native VAE decode; bfloat16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 7:04 PM. Source

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

GPT Image 1.5 image SHA 256: 6a4cec86850fd371b65274198e2bf630b3cf36a096f9fb953d4bfe17c3222ebe

Chroma1-HD image SHA 256: d0ccb26f1a27cc3142c3c669b3e05ed7bb568b58706a237e7e34b3bbb68a9cc5

The numbers at a glance

Arena ratingfrom votes by users · higher is better

1,236

GPT Image 1.5

Rank 13 of 21

n/a

Chroma1-HD

not in the arena

GraduallyBenchour own rating, 0 to 100 · higher is better

GPT Image 1.5

Rank 29 of 108

Chroma1-HD

Rank 94 of 108

Price per imagedollars through the API · lower is better

$0.13

GPT Image 1.5

expensive

n/a

Chroma1-HD

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.

GPT Image 1.5

Subscription: No OpenAI subscription includes this model. Through other providers from ≈ €6.36 a month (ElevenLabs Starter, with limited credits). 42 plans in Germany.
Via API: $0.13 per image, 100 images $13.30.

Chroma1-HD

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.

Kennzahl	GPT Image 1.5	Chroma1-HD
Ratings
Arena ratingfrom votes by users, higher is better	1,236	n/a
Arena rank	Rank 13 of 21	n/a
Arena votesmore votes, a safer rating	173,798	n/a
GraduallyBenchour own rating, 0 to 100	68	23
GraduallyBench by task
Typography and layoutLegible text, hierarchy, and composition	60	36
Product photographyMaterials, reflections, and fine details	52	16
Character and detailAnatomy, clothing, and spatial consistency	89	17
InfographicNumbers, labels, and visual organization	72	22
API price
Per imagelower is better	$0.13	n/a
100 images	$13.30	n/a
Profile
Released	December 2025	n/a
Weightsopen means: runs locally	proprietary	open
Lifecycle	Marked as deprecated by OpenAI; removed from the API on December 1, 2026	no notice
Access	API, Web app	local
Parameters	not published	8.9 billion
Largest output	1,536 × 1,024 pixels	not consistently published
Plans in Germanynaming exactly this model	42	n/a

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

Sources: GPT Image 1.5 model source, status source (verified Aug 15, 2026) · Chroma1-HD 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 GPT Image 1.5 and Chroma1-HD from the same arena and category. Older model versions are not used as substitutes.

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