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Head-to-head comparison

GPT Image 1.5 vs. FLUX.2 Max

Compare shared capability tests, arena scores with documented retrieval dates, task-specific image pricing, and verified specifications. Research benchmarks, preference arenas, and our n = 1 samples remain separate.

shared result series
42
shared sample prompts
4
latest arena retrieval
2026-09-22

Change image model selection

Specifications and cost

General specifications and task-specific pricing

A model can have one price for generating new images and another for editing. Prices therefore remain tied to the corresponding arena configuration.

Specifications and pricing for GPT Image 1.5 and FLUX.2 Max
AttributeGPT Image 1.5FLUX.2 Max
ProviderOpenAIBlack Forest Labs
ReleasedDecember 2025December 2025
AccessAPI, Web appAPI, Web app
LifecycleMarked as deprecated by OpenAI; removed from the API on December 1, 2026 Status sourceNo separate lifecycle notice
WeightsProprietaryProprietary
ParametersNot publishedNot published
Maximum output1,536 × 1,024 pixels4 Megapixel
Arena configurationHighMax
Text-to-image price$133 per 1,000 images$70 per 1,000 images
Editing price$133 per 1,000 images$140 per 1,000 images
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-09-24
GPT Image 1.5FLUX.2 Max
Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
GPT Image 1.5$133
FLUX.2 MaxLower price$70
Image Editing ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
GPT Image 1.5Lower price$133
FLUX.2 Max$140

Key to the marks:better valuebetter, but not conclusivetie

Prompt adherence and specialist tests

Shared capability benchmarks

Both checkpoints completed the same four Gradually sample tasks. For each task, 30 archived first outputs are ranked in three differently ordered, model-blind passes. The published 0-100 value normalizes the mean rank. It must still be read as an n = 1 sample per model. This pair also shares 26 results from published research benchmarks.

GPT Image 1.5FLUX.2 Max
Gradually sample test: Typography and layoutMean of three blind ranks across all 30 first outputs, n = 1 each
GPT Image 1.529.9 / 100
FLUX.2 MaxHigher blind-rank score66.7 / 100
Gradually sample test: Product photographyMean of three blind ranks across all 30 first outputs, n = 1 each
GPT Image 1.543.7 / 100
FLUX.2 MaxHigher blind-rank score56.3 / 100
Gradually sample test: Character and detailMean of three blind ranks across all 30 first outputs, n = 1 each
GPT Image 1.5Higher blind-rank score77 / 100
FLUX.2 Max71.3 / 100
Gradually sample test: InfographicMean of three blind ranks across all 30 first outputs, n = 1 each
GPT Image 1.5Higher blind-rank score42.5 / 100
FLUX.2 Max28.7 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for GPT Image 1.5 and FLUX.2 Max
BenchmarkGPT Image 1.5FLUX.2 Max
GenExam Mathematics, strict
Higher benchmark score26.5 %
6.6 %
GenExam Physics, strict
Higher benchmark score46 %
8.8 %
GenExam Chemistry, strict
Higher benchmark score39 %
6.8 %
GenExam Biology, strict
Higher benchmark score56.4 %
11.6 %
GenExam Geography, strict
Higher benchmark score60.6 %
15.2 %
GenExam Computer science, strict
Higher benchmark score36.3 %
8.8 %
GenExam Engineering, strict
Higher benchmark score44.1 %
10.8 %
GenExam Economics, strict
Higher benchmark score42.9 %
2.6 %
GenExam Music, strict
Higher benchmark score29.2 %
6.2 %
GenExam History, strict
Higher benchmark score51.2 %
7.3 %
GenExam overall, strict
Higher benchmark score43.2 %
8.5 %
GenExam Mathematics, relaxed
Higher benchmark score65.8 %
49.1 %
GenExam Physics, relaxed
Higher benchmark score85.4 %
63.2 %
GenExam Chemistry, relaxed
Higher benchmark score78.1 %
54 %
GenExam Biology, relaxed
Higher benchmark score91.9 %
74.5 %
GenExam Geography, relaxed
Higher benchmark score92.5 %
76.3 %
GenExam Computer science, relaxed
Higher benchmark score75.8 %
56.5 %
GenExam Engineering, relaxed
Higher benchmark score86.4 %
68.9 %
GenExam Economics, relaxed
Higher benchmark score85.5 %
61.5 %
GenExam Music, relaxed
Higher benchmark score70.8 %
47 %
GenExam History, relaxed
Higher benchmark score90.9 %
68 %
GenExam overall, relaxed
Higher benchmark score82.3 %
61.9 %
GRADE reasoning
Higher benchmark score54.5 / 100
47.8 / 100
GRADE consistency
Higher benchmark score82.3 / 100
67.2 / 100
GRADE readability
Higher benchmark score90.7 / 100
68.6 / 100
GRADE accuracy
Higher benchmark score16 / 100
11.9 / 100
Gradually sample test: Typography and layout
29.9 / 100
Mean rank: 21.33 (23 / 22 / 19)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1.33 / 2
Layout: 1 / 2
Higher blind-rank score66.7 / 100
Mean rank: 10.67 (16 / 11 / 5)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1.67 / 2
Layout: 1.33 / 2
Gradually sample test: Product photography
43.7 / 100
Mean rank: 17.33 (22 / 8 / 22)
Five rubric scores
Subject: 1.67 / 2
Time: 1 / 2
Watch details: 1.67 / 2
Photography: 1.67 / 2
Exclusions: 1.67 / 2
Higher blind-rank score56.3 / 100
Mean rank: 13.67 (15 / 14 / 12)
Five rubric scores
Subject: 1.67 / 2
Time: 1.67 / 2
Watch details: 1.67 / 2
Photography: 1.67 / 2
Exclusions: 1.67 / 2
Gradually sample test: Character and detail
Higher blind-rank score77 / 100
Mean rank: 7.67 (6 / 5 / 12)
Five rubric scores
Scene: 1 / 2
Wardrobe: 1 / 2
Anatomy: 1 / 2
Props: 1 / 2
Environment: 1 / 2
71.3 / 100
Mean rank: 9.33 (4 / 15 / 9)
Five rubric scores
Scene: 1 / 2
Wardrobe: 1 / 2
Anatomy: 1 / 2
Props: 1 / 2
Environment: 1 / 2
Gradually sample test: Infographic
Higher blind-rank score42.5 / 100
Mean rank: 17.67 (20 / 14 / 19)
Five rubric scores
Title: 1.67 / 2
Sequence: 1.67 / 2
Labels: 1 / 2
Diagram: 1.67 / 2
Clarity: 1 / 2
28.7 / 100
Mean rank: 21.67 (23 / 17 / 25)
Five rubric scores
Title: 1.67 / 2
Sequence: 1.67 / 2
Labels: 1 / 2
Diagram: 1 / 2
Clarity: 0.67 / 2

Key to the marks:better valuebetter, but not conclusivetie

Independent preference tests

Shared arena benchmarks

Artificial Analysis and Arena derive scores from blind comparisons. Raters see outputs for the same prompt and choose the image they prefer. Separate series cover text rendering, photorealism, portraits, art, commercial design, and image editing. Confidence intervals indicate how certain a measured lead is.

12 shared result series
GPT Image 1.5FLUX.2 Max
Text to Image ArenaBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,102 Elo
FLUX.2 Max1,022 Elo
Image Editing ArenaBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,103 Elo
FLUX.2 Max997 Elo
LMArena Text to Image: 3D modelingBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,214.044
FLUX.2 Max1,161.397
LMArena Text to Image: ArtBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,224.786
FLUX.2 Max1,169.986
LMArena Text to Image: CartoonBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,245.019
FLUX.2 Max1,169.356
LMArena Text to Image: Commercial designBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,240.235
FLUX.2 Max1,164.737
LMArena Text to Image: OverallBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,239.16
FLUX.2 Max1,162.042
LMArena Text to Image: PhotorealismBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,249.33
FLUX.2 Max1,160.996
LMArena Text to Image: PortraitsBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,261.708
FLUX.2 Max1,157.109
LMArena Text to Image: Text renderingBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,253.437
FLUX.2 Max1,167.242
LMArena Image Editing: Multi-image editingBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,342.523
FLUX.2 Max1,250.292
LMArena Image Editing: OverallBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,370.19
FLUX.2 Max1,261.81

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for GPT Image 1.5 and FLUX.2 Max
BenchmarkGPT Image 1.5FLUX.2 MaxSource
Text to Image Arena
Higher score1,102 Elo
Rank 9, 95% confidence interval: ±9, 14,748 ratings
1,022 Elo
Rank 25, 95% confidence interval: ±8, 10,860 ratings
Artificial AnalysisRetrieved 2026-09-22
Image Editing Arena
Higher score1,103 Elo
Rank 12, 95% confidence interval: ±9, 12,789 ratings
997 Elo
Rank 45, 95% confidence interval: ±9, 5,139 ratings
Artificial AnalysisRetrieved 2026-09-22
LMArena Text to Image: 3D modeling
Higher score1,214.044
Rank 15, 95% confidence interval: ±6.6, 15,526 ratings
1,161.397
Rank 28, 95% confidence interval: ±7.37, 11,586 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Art
Higher score1,224.786
Rank 14, 95% confidence interval: ±5.9, 21,424 ratings
1,169.986
Rank 26, 95% confidence interval: ±6.55, 16,551 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Cartoon
Higher score1,245.019
Rank 14, 95% confidence interval: ±4.72, 59,294 ratings
1,169.356
Rank 26, 95% confidence interval: ±5.37, 42,883 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Commercial design
Higher score1,240.235
Rank 14, 95% confidence interval: ±4.6, 58,887 ratings
1,164.737
Rank 27, 95% confidence interval: ±5.04, 44,226 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Overall
Higher score1,239.16
Rank 15, 95% confidence interval: ±3.24, 151,702 ratings
1,162.042
Rank 25, 95% confidence interval: ±3.55, 117,339 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Photorealism
Higher score1,249.33
Rank 15, 95% confidence interval: ±4.7, 60,842 ratings
1,160.996
Rank 27, 95% confidence interval: ±4.96, 50,605 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Portraits
Higher score1,261.708
Rank 12, 95% confidence interval: ±5.81, 29,731 ratings
1,157.109
Rank 30, 95% confidence interval: ±6.04, 26,736 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Text rendering
Higher score1,253.437
Rank 16, 95% confidence interval: ±4.84, 54,527 ratings
1,167.242
Rank 26, 95% confidence interval: ±5.28, 40,341 ratings
LMArenaRetrieved 2026-09-19
LMArena Image Editing: Multi-image editing
Higher score1,342.523
Rank 11, 95% confidence interval: ±3.62, 192,446 ratings
1,250.292
Rank 21, 95% confidence interval: ±4.31, 136,199 ratings
LMArenaRetrieved 2026-09-19
LMArena Image Editing: Overall
Higher score1,370.19
Rank 15, 95% confidence interval: ±2.81, 566,510 ratings
1,261.81
Rank 29, 95% confidence interval: ±3.2, 352,883 ratings
LMArenaRetrieved 2026-09-19

Key to the marks:better valuebetter, but not conclusivetie

Visual comparison

Sample images

Our images complement preference data, but do not replace it. The prompt, request count, and selection rule match. Provider resolution, quality tier, randomness, and prompt processing remain visible limitations, so this is not a fully controlled laboratory test.

Largely standardized comparison protocol. Both models receive the same archived prompt, 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. These images are a practical visual test, not a reconstruction of the arena configuration.

Character and detail

Anatomy, clothing, and spatial consistency

FLUX.2 Max, Character and detail
GPT Image 1.5, Character and detail
GPT Image 1.5
FLUX.2 Max
Prompt and settings

Create 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.

GPT Image 1.5. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-1.5, generated Aug 14, 2026, 12:17 PM. Source
FLUX.2 Max. Provider Together, 1024x1024, n=1, seed=provider random, steps=50, model ID black-forest-labs/FLUX.2-max, generated Aug 14, 2026, 12:23 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

GPT Image 1.5, image SHA 256: 0dff52ccd39400ac66ac8870c9ea937512ff1474688e70118688f420c38c2296

GPT Image 1.5, request SHA 256: 5199631ac6ff07633dd2fb6ab61c918c26e1e02f37e6131828072233ac04527d

FLUX.2 Max, image SHA 256: a0a2cef301582c47a8dca69ccd1c52212c37ca6c058d7185a880a7856713cd9e

FLUX.2 Max, request SHA 256: 0267e820f1d771485d5a0e44b93a6b996c2fb12f6547a199eb3c22d4cf8e21f3

Infographic

Numbers, labels, and visual organization

FLUX.2 Max, Infographic
GPT Image 1.5, Infographic
GPT Image 1.5
FLUX.2 Max
Prompt and settings

Create 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.

GPT Image 1.5. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-1.5, generated Aug 14, 2026, 12:17 PM. Source
FLUX.2 Max. Provider Together, 1024x1024, n=1, seed=provider random, steps=50, model ID black-forest-labs/FLUX.2-max, generated Aug 14, 2026, 12:24 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

GPT Image 1.5, image SHA 256: 1c9ff59c32621c8b48b002dacb0ae66487262280c7c0a5b3d6456c81b248ebe9

GPT Image 1.5, request SHA 256: 7f1efc9531f1e6bed7d61a11c637add9fd892001aea2bb2781f8d89c79a2eb03

FLUX.2 Max, image SHA 256: 9321457355d5a9630073632fb6441bf388da1c4ee8e5d58e58cd0603ce756a09

FLUX.2 Max, request SHA 256: 46911d2cf3eb49e0c0439477c802fc24910b2658b19d562a327af2e1b3f3faf1

Product photography

Materials, reflections, and fine details

FLUX.2 Max, Product photography
GPT Image 1.5, Product photography
GPT Image 1.5
FLUX.2 Max
Prompt and settings

Create 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.

GPT Image 1.5. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-1.5, generated Aug 14, 2026, 12:16 PM. Source
FLUX.2 Max. Provider Together, 1024x1024, n=1, seed=provider random, steps=50, model ID black-forest-labs/FLUX.2-max, generated Aug 14, 2026, 12:23 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

GPT Image 1.5, image SHA 256: 67cfa2f324447027ceb5f82e9446d40a1395b46ce425890a74606b4d97731cf6

GPT Image 1.5, request SHA 256: c850843a298631a4076c5d2686de8e9d7223534f2b8ca53505f437862718bef9

FLUX.2 Max, image SHA 256: dd6ad8d1ec45154727d9ddf573ef10da5225899820055318d23bcd4e5a1e930c

FLUX.2 Max, request SHA 256: 3c90a7839c60af903a8abb6d7b2b4af4df1320aabffcc84361491964161bcf9e

Typography and layout

Legible text, hierarchy, and composition

FLUX.2 Max, Typography and layout
GPT Image 1.5, Typography and layout
GPT Image 1.5
FLUX.2 Max
Prompt and settings

Create 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.

GPT Image 1.5. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-1.5, generated Aug 14, 2026, 1:59 PM. Source
FLUX.2 Max. Provider Together, 1024x1024, n=1, seed=provider random, steps=50, model ID black-forest-labs/FLUX.2-max, generated Aug 14, 2026, 2:00 PM. Source

Protocol gradually-image-comparison-v1, selection rule: first result.

Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

GPT Image 1.5, image SHA 256: 6a4cec86850fd371b65274198e2bf630b3cf36a096f9fb953d4bfe17c3222ebe

GPT Image 1.5, request SHA 256: 9c3a396aecfcaae3f8a25edbe5c8c44d0d33199d7ba29efda864d2b0221c3250

FLUX.2 Max, image SHA 256: 3eb2daf01c749ee25d86c2e4f55d6d3d81cfb4590eb0343f9a4bb3d0a70d19bc

FLUX.2 Max, request SHA 256: 10a63b4db9e0b1529ab3d891fdb504c5716d30aff6a5cc7bd0312790105eba22

How to read this comparison

An Elo score is not a verdict on creativity

A higher arena score means this specific configuration was preferred more often in blind comparisons.

Typography, character consistency, local execution, licensing, and price may matter more to your workload than overall visual appeal.

Prices cover 1,000 images at 1,024 × 1,024 pixels using settings documented by Artificial Analysis. Subscriptions and special rates are excluded.

More matchups

Compare GPT Image 1.5 and FLUX.2 Max with other important image models under the same evidence rules. Each page shows only exact shared measurements and samples.

View the complete image model comparison