Skip to main content

Head-to-head comparison

GPT Image 1.5 vs. FLUX.2 Pro

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
32
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 Pro
AttributeGPT Image 1.5FLUX.2 Pro
ProviderOpenAIBlack Forest Labs
ReleasedDecember 2025November 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 configurationHighPro
Text-to-image price$133 per 1,000 images$30 per 1,000 images
Editing price$133 per 1,000 images$45 per 1,000 images
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-09-24
GPT Image 1.5FLUX.2 Pro
Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
GPT Image 1.5$133
FLUX.2 ProLower price$30
Image Editing ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
GPT Image 1.5$133
FLUX.2 ProLower price$45

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 16 results from published research benchmarks.

GPT Image 1.5FLUX.2 Pro
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 ProHigher blind-rank score49.4 / 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 ProHigher blind-rank score51.7 / 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 Pro60.9 / 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 Pro21.8 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for GPT Image 1.5 and FLUX.2 Pro
BenchmarkGPT Image 1.5FLUX.2 Pro
GRADE reasoning
Higher benchmark score54.5 / 100
38.9 / 100
GRADE consistency
Higher benchmark score82.3 / 100
55.5 / 100
GRADE readability
Higher benchmark score90.7 / 100
70.3 / 100
GRADE accuracy
Higher benchmark score16 / 100
4.4 / 100
GEBench Chinese, single-step
Higher benchmark score83.79 / 100
68.83 / 100
GEBench Chinese, multi-step
Higher benchmark score56.97 / 100
55.07 / 100
GEBench Chinese, fictional app
Higher benchmark score60.11 / 100
58.13 / 100
GEBench Chinese, real app
Higher benchmark score55.65 / 100
55.41 / 100
GEBench Chinese, grounding
Higher benchmark score53.33 / 100
50.24 / 100
GEBench Chinese, overall
Higher benchmark score63.22 / 100
57.54 / 100
GEBench English, single-step
Higher benchmark score80.8 / 100
61 / 100
GEBench English, multi-step
Higher benchmark score58.87 / 100
52.17 / 100
GEBench English, fictional app
Higher benchmark score63.68 / 100
49.92 / 100
GEBench English, real app
Higher benchmark score58.93 / 100
47.16 / 100
GEBench English, grounding
Higher benchmark score49.23 / 100
45.67 / 100
GEBench English, overall
Higher benchmark score63.16 / 100
51.18 / 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 score49.4 / 100
Mean rank: 15.67 (19 / 13 / 15)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1.33 / 2
Layout: 1 / 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 score51.7 / 100
Mean rank: 15 (17 / 15 / 13)
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
60.9 / 100
Mean rank: 12.33 (15 / 12 / 10)
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
21.8 / 100
Mean rank: 23.67 (24 / 25 / 22)
Five rubric scores
Title: 1.67 / 2
Sequence: 1.33 / 2
Labels: 0.33 / 2
Diagram: 0.67 / 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 Pro
Text to Image ArenaBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,102 Elo
FLUX.2 Pro1,001 Elo
Image Editing ArenaBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,103 Elo
FLUX.2 Pro1,008 Elo
LMArena Text to Image: 3D modelingBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,214.044
FLUX.2 Pro1,147.767
LMArena Text to Image: ArtBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,224.786
FLUX.2 Pro1,162.175
LMArena Text to Image: CartoonBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,245.019
FLUX.2 Pro1,160.398
LMArena Text to Image: Commercial designBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,240.235
FLUX.2 Pro1,155.351
LMArena Text to Image: OverallBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,239.16
FLUX.2 Pro1,153.926
LMArena Text to Image: PhotorealismBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,249.33
FLUX.2 Pro1,152.003
LMArena Text to Image: PortraitsBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,261.708
FLUX.2 Pro1,144.638
LMArena Text to Image: Text renderingBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,253.437
FLUX.2 Pro1,155.146
LMArena Image Editing: Multi-image editingBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,342.523
FLUX.2 Pro1,240.557
LMArena Image Editing: OverallBlind preference from the same prompt, higher is better
GPT Image 1.5Higher score1,370.19
FLUX.2 Pro1,244.7

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for GPT Image 1.5 and FLUX.2 Pro
BenchmarkGPT Image 1.5FLUX.2 ProSource
Text to Image Arena
Higher score1,102 Elo
Rank 9, 95% confidence interval: ±9, 14,748 ratings
1,001 Elo
Rank 39, 95% confidence interval: ±8, 10,492 ratings
Artificial AnalysisRetrieved 2026-09-22
Image Editing Arena
Higher score1,103 Elo
Rank 12, 95% confidence interval: ±9, 12,789 ratings
1,008 Elo
Rank 37, 95% confidence interval: ±7, 6,580 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
1,147.767
Rank 32, 95% confidence interval: ±6.08, 18,321 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Art
Higher score1,224.786
Rank 14, 95% confidence interval: ±5.9, 21,424 ratings
1,162.175
Rank 29, 95% confidence interval: ±5.57, 26,959 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Cartoon
Higher score1,245.019
Rank 14, 95% confidence interval: ±4.72, 59,294 ratings
1,160.398
Rank 30, 95% confidence interval: ±4.43, 70,569 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
1,155.351
Rank 29, 95% confidence interval: ±4.21, 68,394 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Overall
Higher score1,239.16
Rank 15, 95% confidence interval: ±3.24, 151,702 ratings
1,153.926
Rank 28, 95% confidence interval: ±2.96, 188,083 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Photorealism
Higher score1,249.33
Rank 15, 95% confidence interval: ±4.7, 60,842 ratings
1,152.003
Rank 33, 95% confidence interval: ±4.18, 79,531 ratings
LMArenaRetrieved 2026-09-19
LMArena Text to Image: Portraits
Higher score1,261.708
Rank 12, 95% confidence interval: ±5.81, 29,731 ratings
1,144.638
Rank 36, 95% confidence interval: ±5.09, 41,905 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
1,155.146
Rank 30, 95% confidence interval: ±4.39, 63,433 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
1,240.557
Rank 22, 95% confidence interval: ±3.48, 205,735 ratings
LMArenaRetrieved 2026-09-19
LMArena Image Editing: Overall
Higher score1,370.19
Rank 15, 95% confidence interval: ±2.81, 566,510 ratings
1,244.7
Rank 32, 95% confidence interval: ±2.74, 539,449 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 Pro, Character and detail
GPT Image 1.5, Character and detail
GPT Image 1.5
FLUX.2 Pro
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 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 12:30 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 Pro, image SHA 256: 9eec1a6900b6031703d2e797b93c2aba6c5f45b4807b560a0bf1e37eac9e20f2

FLUX.2 Pro, request SHA 256: 8c40a10f47e1407d26ab10f5c9d815e533bce798cf0adf5a9c1e6ddfc3f3584e

Infographic

Numbers, labels, and visual organization

FLUX.2 Pro, Infographic
GPT Image 1.5, Infographic
GPT Image 1.5
FLUX.2 Pro
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 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 12:31 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 Pro, image SHA 256: ea47f772cdfa26bf21528ae7e09d245eb7a3be7d3185af15cedd7d21acdfbb09

FLUX.2 Pro, request SHA 256: 9ef85d9cf32f0f9b974eeb0b389c1fbf1403f4e266af0ce98e0ca83da0fe23c1

Product photography

Materials, reflections, and fine details

FLUX.2 Pro, Product photography
GPT Image 1.5, Product photography
GPT Image 1.5
FLUX.2 Pro
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 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 12:30 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 Pro, image SHA 256: 4d9b922f59b329c5ac3532222c8e340e7fdcb1920ce6f03ad9299f25a6beec43

FLUX.2 Pro, request SHA 256: 96c65fc91b32da0a02970457fbf90c6928e1f7a5b45177fa3ef08f8bc32c9b82

Typography and layout

Legible text, hierarchy, and composition

FLUX.2 Pro, Typography and layout
GPT Image 1.5, Typography and layout
GPT Image 1.5
FLUX.2 Pro
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 Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID black-forest-labs/FLUX.2-pro, generated Aug 14, 2026, 2:02 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 Pro, image SHA 256: 5a5d8ccd657d7522bc39fdec4b0aecf198b42c282a5aefde9461239dfe5c0396

FLUX.2 Pro, request SHA 256: 3e170f568fe4b6040423f0df065d9227f586d5da3d911a4251bcc368dfe333c0

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 Pro 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