Skip to main content

Head-to-head comparison

Reve 2.1 vs. GPT Image 1.5

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
15
shared sample prompts
4
latest arena retrieval
2026-08-26

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 Reve 2.1 and GPT Image 1.5
AttributeReve 2.1GPT Image 1.5
ProviderReveOpenAI
ReleasedJuly 2026December 2025
AccessAPI, Web appAPI, Web app
LifecycleNo separate lifecycle noticeMarked as deprecated by OpenAI Status source
WeightsProprietaryProprietary
ParametersNot publishedNot published
Maximum output4K1,536 × 1,024 pixels
Arena configurationNo separate configuration namedHigh
Text-to-image price$200 per 1,000 images$133 per 1,000 images
Editing price$200 per 1,000 images$133 per 1,000 images
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-08-15
Reve 2.1GPT Image 1.5
Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
Reve 2.1$200
GPT Image 1.5Lower price$133
Image Editing ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
Reve 2.1$200
GPT Image 1.5Lower price$133

Key to the marks:better valuebetter, but not conclusivetie

Prompt adherence and specialist tests

Shared capability benchmarks

Every matchup includes the same four Gradually sample tasks. For each task, one archived first output from every model is 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. No exact shared result from the integrated research benchmarks is available for this pair.

Reve 2.1GPT Image 1.5
Gradually sample test: Typography and layoutMean of three blind ranks across all 28 first outputs, n = 1 each
Reve 2.1Higher blind-rank score35.8 / 100
GPT Image 1.533.3 / 100
Gradually sample test: Product photographyMean of three blind ranks across all 28 first outputs, n = 1 each
Reve 2.1Higher blind-rank score51.9 / 100
GPT Image 1.537 / 100
Gradually sample test: Character and detailMean of three blind ranks across all 28 first outputs, n = 1 each
Reve 2.132.1 / 100
GPT Image 1.5Higher blind-rank score85.2 / 100
Gradually sample test: InfographicMean of three blind ranks across all 28 first outputs, n = 1 each
Reve 2.1Higher blind-rank score97.5 / 100
GPT Image 1.549.4 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for Reve 2.1 and GPT Image 1.5
BenchmarkReve 2.1GPT Image 1.5
Gradually sample test: Typography and layout
Higher blind-rank score35.8 / 100
Mean rank: 18.33 (21 / 14 / 20)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1.33 / 2
Layout: 1 / 2
33.3 / 100
Mean rank: 19 (20 / 18 / 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
Gradually sample test: Product photography
Higher blind-rank score51.9 / 100
Mean rank: 14 (9 / 15 / 18)
Five rubric scores
Subject: 1.33 / 2
Time: 1.33 / 2
Watch details: 1.33 / 2
Photography: 1.33 / 2
Exclusions: 1.33 / 2
37 / 100
Mean rank: 18 (18 / 16 / 20)
Five rubric scores
Subject: 1.33 / 2
Time: 1 / 2
Watch details: 1.33 / 2
Photography: 1.33 / 2
Exclusions: 1.33 / 2
Gradually sample test: Character and detail
32.1 / 100
Mean rank: 19.33 (22 / 20 / 16)
Five rubric scores
Scene: 1.33 / 2
Wardrobe: 1.33 / 2
Anatomy: 0.33 / 2
Props: 1 / 2
Environment: 1.33 / 2
Higher blind-rank score85.2 / 100
Mean rank: 5 (5 / 8 / 2)
Five rubric scores
Scene: 1.33 / 2
Wardrobe: 1.33 / 2
Anatomy: 1 / 2
Props: 1.33 / 2
Environment: 1.33 / 2
Gradually sample test: Infographic
Higher blind-rank score97.5 / 100
Mean rank: 1.67 (2 / 1 / 2)
Five rubric scores
Title: 1.67 / 2
Sequence: 1.67 / 2
Labels: 1.67 / 2
Diagram: 1.67 / 2
Clarity: 1.67 / 2
49.4 / 100
Mean rank: 14.67 (13 / 15 / 16)
Five rubric scores
Title: 1.67 / 2
Sequence: 1.67 / 2
Labels: 1 / 2
Diagram: 1.67 / 2
Clarity: 1 / 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.

11 shared result series
Reve 2.1GPT Image 1.5
Text to Image ArenaBlind preference from the same prompt, higher is better
Reve 2.1No clear lead1,322 Elo
GPT Image 1.51,310 Elo
Image Editing ArenaBlind preference from the same prompt, higher is better
Reve 2.1No clear lead1,263 Elo
GPT Image 1.51,251 Elo
LMArena Text to Image: 3D modelingBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,272.907
GPT Image 1.51,215.437
LMArena Text to Image: ArtBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,287.61
GPT Image 1.51,223.911
LMArena Text to Image: CartoonBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,309.93
GPT Image 1.51,243.08
LMArena Text to Image: Commercial designBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,314.26
GPT Image 1.51,240.908
LMArena Text to Image: OverallBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,301.588
GPT Image 1.51,238.658
LMArena Text to Image: PhotorealismBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,302.563
GPT Image 1.51,248.785
LMArena Text to Image: PortraitsBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,316.543
GPT Image 1.51,261.416
LMArena Text to Image: Text renderingBlind preference from the same prompt, higher is better
Reve 2.1Higher score1,340.56
GPT Image 1.51,254.593
LMArena Image Editing: OverallBlind preference from the same prompt, higher is better
Reve 2.1No clear lead1,375.077
GPT Image 1.51,370.209

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for Reve 2.1 and GPT Image 1.5
BenchmarkReve 2.1GPT Image 1.5Source
Text to Image Arena
No clear lead1,322 Elo
Rank 3, 95% confidence interval: ±9, 15,860 ratings
1,310 Elo
Rank 5, 95% confidence interval: ±9, 13,674 ratings
Artificial AnalysisRetrieved 2026-08-26
Image Editing Arena
No clear lead1,263 Elo
Rank 3, 95% confidence interval: ±10, 5,689 ratings
1,251 Elo
Rank 6, 95% confidence interval: ±7, 11,694 ratings
Artificial AnalysisRetrieved 2026-08-26
LMArena Text to Image: 3D modeling
Higher score1,272.907
Rank 2, 95% confidence interval: ±22.44, 683 ratings
1,215.437
Rank 11, 95% confidence interval: ±6.83, 14,763 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Art
Higher score1,287.61
Rank 2, 95% confidence interval: ±17.35, 1,102 ratings
1,223.911
Rank 11, 95% confidence interval: ±6.08, 19,937 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Cartoon
Higher score1,309.93
Rank 2, 95% confidence interval: ±11.32, 2,930 ratings
1,243.08
Rank 10, 95% confidence interval: ±4.87, 55,661 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Commercial design
Higher score1,314.26
Rank 2, 95% confidence interval: ±11.59, 2,731 ratings
1,240.908
Rank 10, 95% confidence interval: ±4.72, 55,926 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Overall
Higher score1,301.588
Rank 2, 95% confidence interval: ±7.71, 7,598 ratings
1,238.658
Rank 11, 95% confidence interval: ±3.36, 142,427 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Photorealism
Higher score1,302.563
Rank 2, 95% confidence interval: ±11.07, 3,038 ratings
1,248.785
Rank 11, 95% confidence interval: ±4.83, 57,631 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Portraits
Higher score1,316.543
Rank 2, 95% confidence interval: ±15.5, 1,472 ratings
1,261.416
Rank 9, 95% confidence interval: ±5.95, 28,153 ratings
LMArenaRetrieved 2026-08-26
LMArena Text to Image: Text rendering
Higher score1,340.56
Rank 2, 95% confidence interval: ±12.24, 2,542 ratings
1,254.593
Rank 10, 95% confidence interval: ±4.98, 51,503 ratings
LMArenaRetrieved 2026-08-26
LMArena Image Editing: Overall
No clear lead1,375.077
Rank 12, 95% confidence interval: ±6.2, 19,116 ratings
1,370.209
Rank 13, 95% confidence interval: ±2.92, 531,138 ratings
LMArenaRetrieved 2026-08-26

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

GPT Image 1.5, Character and detail
Reve 2.1, Character and detail
Reve 2.1
GPT Image 1.5
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.

Reve 2.1. Provider Manual import, Official Reve web app; Reve 2.1; chat creation; one request; 1:1 requested in prompt; first of two results; free plan; 2026-08-14; https://app.reve.com/model, source 4096x4096, stored 1024x1024 (Lanczos3 downscale), model ID manual export, generated Aug 14, 2026, 4:23 PM. Source
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

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

Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Reve 2.1, image SHA 256: 29e9f7f38ed5c63dcfaab671a49fb9f4e9f82cd24b99134b87e1c22442822126

GPT Image 1.5, image SHA 256: 0dff52ccd39400ac66ac8870c9ea937512ff1474688e70118688f420c38c2296

GPT Image 1.5, request SHA 256: 5199631ac6ff07633dd2fb6ab61c918c26e1e02f37e6131828072233ac04527d

Infographic

Numbers, labels, and visual organization

GPT Image 1.5, Infographic
Reve 2.1, Infographic
Reve 2.1
GPT Image 1.5
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.

Reve 2.1. Provider Manual import, Official Reve web app; Reve 2.1; chat creation; one request; 1:1 requested in prompt; first of two results; free plan; 2026-08-14; https://app.reve.com/model, source 4096x4096, stored 1024x1024 (Lanczos3 downscale), model ID manual export, generated Aug 14, 2026, 4:23 PM. Source
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

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

Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Reve 2.1, image SHA 256: 30d157e85d75eb2ca1f71152d27f26d378ad8ea49b899d5f350ae0cda4e2bc59

GPT Image 1.5, image SHA 256: 1c9ff59c32621c8b48b002dacb0ae66487262280c7c0a5b3d6456c81b248ebe9

GPT Image 1.5, request SHA 256: 7f1efc9531f1e6bed7d61a11c637add9fd892001aea2bb2781f8d89c79a2eb03

Product photography

Materials, reflections, and fine details

GPT Image 1.5, Product photography
Reve 2.1, Product photography
Reve 2.1
GPT Image 1.5
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.

Reve 2.1. Provider Manual import, Official Reve web app; Reve 2.1; chat creation; one request; 1:1 requested in prompt; first of two results; free plan; 2026-08-14; https://app.reve.com/model, source 4096x4096, stored 1024x1024 (Lanczos3 downscale), model ID manual export, generated Aug 14, 2026, 4:23 PM. Source
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

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

Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Reve 2.1, image SHA 256: 1f91c3cb481151fb5165194b4edea2a46e786ca80e4ec3bdd888e3ba0016c510

GPT Image 1.5, image SHA 256: 67cfa2f324447027ceb5f82e9446d40a1395b46ce425890a74606b4d97731cf6

GPT Image 1.5, request SHA 256: c850843a298631a4076c5d2686de8e9d7223534f2b8ca53505f437862718bef9

Typography and layout

Legible text, hierarchy, and composition

GPT Image 1.5, Typography and layout
Reve 2.1, Typography and layout
Reve 2.1
GPT Image 1.5
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.

Reve 2.1. Provider Manual import, Official Reve web app; Reve 2.1; chat creation; one request; 1:1 requested in prompt; first of two results; free plan; 2026-08-14; https://app.reve.com/model, source 4096x4096, stored 1024x1024 (Lanczos3 downscale), model ID manual export, generated Aug 14, 2026, 4:23 PM. Source
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

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

Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Reve 2.1, image SHA 256: 84bcd1680fd0ae861ec66c21ab8f4cd79738bd093eb87ffe7283d9842c37cb1d

GPT Image 1.5, image SHA 256: 6a4cec86850fd371b65274198e2bf630b3cf36a096f9fb953d4bfe17c3222ebe

GPT Image 1.5, request SHA 256: 9c3a396aecfcaae3f8a25edbe5c8c44d0d33199d7ba29efda864d2b0221c3250

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 Reve 2.1 and GPT Image 1.5 with other important image models using the same benchmark and sample methodology.

View the complete image model comparison