Head-to-head comparison

Reve 2.1 vs. Stable Diffusion 3.5 Large

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: 12
shared sample prompts: 4
latest arena retrieval: 2026-08-26

First image modelSecond image model

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 Stable Diffusion 3.5 Large
Attribute	Reve 2.1	Stable Diffusion 3.5 Large
Provider	Reve	Stability AI
Released	July 2026	October 22, 2024
Access	API, Web app	API, local
Lifecycle	No separate lifecycle notice	No separate lifecycle notice
Weights	Proprietary	Open weights
Parameters	Not published	8.1 billion
Maximum output	4K	1 Megapixel
Arena configuration	No separate configuration named	No separate configuration named
Text-to-image price	$200 per 1,000 images	No arena entry
Editing price	$200 per 1,000 images	No arena entry
Technical source	Model sourceVerified 2026-08-15	Model sourceVerified 2026-08-15

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 2.1Stable Diffusion 3.5 Large

Gradually sample test: Typography and layoutMean of three blind ranks across all 28 first outputs, n = 1 each

Reve 2.135.8 / 100

Stable Diffusion 3.5 Large0 / 100

Gradually sample test: Product photographyMean of three blind ranks across all 28 first outputs, n = 1 each

Reve 2.151.9 / 100

Stable Diffusion 3.5 Large3.7 / 100

Gradually sample test: Character and detailMean of three blind ranks across all 28 first outputs, n = 1 each

Reve 2.132.1 / 100

Stable Diffusion 3.5 Large3.7 / 100

Gradually sample test: InfographicMean of three blind ranks across all 28 first outputs, n = 1 each

Reve 2.197.5 / 100

Stable Diffusion 3.5 Large2.5 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for Reve 2.1 and Stable Diffusion 3.5 Large
Benchmark	Reve 2.1	Stable Diffusion 3.5 Large
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	0 / 100 Mean rank: 28 (28 / 28 / 28) Five rubric scores Headline: 0.67 / 2 Subline: 0.67 / 2 Text control: 0.67 / 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	3.7 / 100 Mean rank: 27 (28 / 28 / 25) Five rubric scores Subject: 1 / 2 Time: 1.33 / 2 Watch details: 1.33 / 2 Photography: 1.33 / 2 Exclusions: 0.67 / 2
Gradually sample test: Character and detail	Higher blind-rank score32.1 / 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	3.7 / 100 Mean rank: 27 (28 / 27 / 26) Five rubric scores Scene: 1.33 / 2 Wardrobe: 1 / 2 Anatomy: 0.67 / 2 Props: 0.33 / 2 Environment: 1 / 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	2.5 / 100 Mean rank: 27.33 (28 / 27 / 27) Five rubric scores Title: 1 / 2 Sequence: 0.67 / 2 Labels: 0.33 / 2 Diagram: 0.67 / 2 Clarity: 0.33 / 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.

8 shared result series

Reve 2.1Stable Diffusion 3.5 Large

LMArena Text to Image: 3D modelingBlind preference from the same prompt, higher is better

Reve 2.11,272.907

Stable Diffusion 3.5 Large963.912

LMArena Text to Image: ArtBlind preference from the same prompt, higher is better

Reve 2.11,287.61

Stable Diffusion 3.5 Large997.688

LMArena Text to Image: CartoonBlind preference from the same prompt, higher is better

Reve 2.11,309.93

Stable Diffusion 3.5 Large945.603

LMArena Text to Image: Commercial designBlind preference from the same prompt, higher is better

Reve 2.11,314.26

Stable Diffusion 3.5 Large937.14

LMArena Text to Image: OverallBlind preference from the same prompt, higher is better

Reve 2.11,301.588

Stable Diffusion 3.5 Large938.302

LMArena Text to Image: PhotorealismBlind preference from the same prompt, higher is better

Reve 2.11,302.563

Stable Diffusion 3.5 Large928.086

LMArena Text to Image: PortraitsBlind preference from the same prompt, higher is better

Reve 2.11,316.543

Stable Diffusion 3.5 Large941.134

LMArena Text to Image: Text renderingBlind preference from the same prompt, higher is better

Reve 2.11,340.56

Stable Diffusion 3.5 Large921.402

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for Reve 2.1 and Stable Diffusion 3.5 Large
Benchmark	Reve 2.1	Stable Diffusion 3.5 Large	Source
LMArena Text to Image: 3D modeling	Higher score1,272.907 Rank 2, 95% confidence interval: ±22.44, 683 ratings	963.912 Rank 73, 95% confidence interval: ±15.9, 1,629 ratings	LMArenaRetrieved 2026-08-26
LMArena Text to Image: Art	Higher score1,287.61 Rank 2, 95% confidence interval: ±17.35, 1,102 ratings	997.688 Rank 70, 95% confidence interval: ±9.46, 5,340 ratings	LMArenaRetrieved 2026-08-26
LMArena Text to Image: Cartoon	Higher score1,309.93 Rank 2, 95% confidence interval: ±11.32, 2,930 ratings	945.603 Rank 73, 95% confidence interval: ±6.34, 12,274 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	937.14 Rank 74, 95% confidence interval: ±11.06, 3,051 ratings	LMArenaRetrieved 2026-08-26
LMArena Text to Image: Overall	Higher score1,301.588 Rank 2, 95% confidence interval: ±7.71, 7,598 ratings	938.302 Rank 74, 95% confidence interval: ±4.5, 23,396 ratings	LMArenaRetrieved 2026-08-26
LMArena Text to Image: Photorealism	Higher score1,302.563 Rank 2, 95% confidence interval: ±11.07, 3,038 ratings	928.086 Rank 74, 95% confidence interval: ±7.07, 9,405 ratings	LMArenaRetrieved 2026-08-26
LMArena Text to Image: Portraits	Higher score1,316.543 Rank 2, 95% confidence interval: ±15.5, 1,472 ratings	941.134 Rank 73, 95% confidence interval: ±8.89, 5,704 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	921.402 Rank 74, 95% confidence interval: ±10.85, 3,222 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

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
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=7087247023770270000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

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

Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Reve 2.1, image SHA 256: 29e9f7f38ed5c63dcfaab671a49fb9f4e9f82cd24b99134b87e1c22442822126

Stable Diffusion 3.5 Large, image SHA 256: e748006fe56e442ad347e3f994f18b86ee1739f20dcee063aa7a03ee710c5d54

Stable Diffusion 3.5 Large, request SHA 256: 5d005ee24926d68b7d2299b8ecbe4e14919f652761f6de2568a043f2a6258da0

Infographic

Numbers, labels, and visual organization

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
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=12166653711354006000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

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

Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Reve 2.1, image SHA 256: 30d157e85d75eb2ca1f71152d27f26d378ad8ea49b899d5f350ae0cda4e2bc59

Stable Diffusion 3.5 Large, image SHA 256: 4eb0fd741ef42e6d3fee4b1280cdfb098a0a04009b139051963895892e349f1e

Stable Diffusion 3.5 Large, request SHA 256: 8b8014fc63f520d73ff57d3d8df5eae880097383167d44918b963f2830d09940

Product photography

Materials, reflections, and fine details

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
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=13346308312015933000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

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

Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Reve 2.1, image SHA 256: 1f91c3cb481151fb5165194b4edea2a46e786ca80e4ec3bdd888e3ba0016c510

Stable Diffusion 3.5 Large, image SHA 256: ea9a7401dee8859ec2cb96af9f7ca29a177ef2202f52f629d8ce9f5839bd4061

Stable Diffusion 3.5 Large, request SHA 256: 21e2c14d1b6315c30134e1390f531349608855d4ef1a87527e6d0ba57b2974ca

Typography and layout

Legible text, hierarchy, and composition

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
Stable Diffusion 3.5 Large. Provider fal.ai, requested 1024x1024, n=1, seed=16632333557910893000, estimated cost $0.068157, model ID fal-ai/stable-diffusion-v35-large, generated Aug 14, 2026, 2:37 PM. Source

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

Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Reve 2.1, image SHA 256: 84bcd1680fd0ae861ec66c21ab8f4cd79738bd093eb87ffe7283d9842c37cb1d

Stable Diffusion 3.5 Large, image SHA 256: e2994b1883a245b1c8c447957d121ea89d93aafff149029aa4e8507dbb769f9a

Stable Diffusion 3.5 Large, request SHA 256: 530872e813e988ba95025956a3743c6111120af963d90b8970a8bf3eced5547b

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 Stable Diffusion 3.5 Large with other important image models using the same benchmark and sample methodology.

View the complete image model comparison

Reve 2.1 vs. Stable Diffusion 3.5 Large

Change image model selection

General specifications and task-specific pricing

Shared capability benchmarks

Shared arena benchmarks

Sample images

Character and detail

Infographic

Product photography

Typography and layout

An Elo score is not a verdict on creativity

Related image model comparisons