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MidjourneyImage model

Midjourney V8.1

Midjourney V8.1 is rank 73 of 108 in our GraduallyBench test.

Arena ratingnot rated

n/aUser voteshigher is better

GraduallyBenchRank 73 of 108

38our own rating0 to 100

Priceno price

n/aper imagelower is better

PopularityRank 358 of 875

35out of 100same as last month

Summary

Midjourney V8.1 made speed the focus of the V8 series. Midjourney describes standard jobs as roughly four to five times faster than earlier versions and says it handles prompts and small details better. HD produces 2K images without upscaling, while Raw reduces the default stylistic treatment.

The current version documentation now lists Midjourney V8.2 as the default. V8.1 is therefore a clearly documented intermediate checkpoint, not the current preset. Midjourney says edits to HD images can downscale the result back to SD.

Image samples from our tests

These images come from documented single requests with an archived prompt. They complement measurements but do not replace a controlled laboratory test.

Character and detailOpen Character and detail at original size

Character and detail

This sample tests 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.

Generated through manual. Archived settings were one request, first output, Midjourney V8.1 Standard, 1:1, 1024x1024, four candidates, stylize 100, weird 0, variety 0, Raw off, personalization off, Relax mode, no reference image, no negative prompt.

Open source
InfographicOpen Infographic at original size

Infographic

This sample tests 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.

Generated through manual. Archived settings were one request, first output, Midjourney V8.1 Standard, 1:1, 1024x1024, four candidates, stylize 100, weird 0, variety 0, Raw off, personalization off, Relax mode, no reference image, no negative prompt.

Open source
Product photographyOpen Product photography at original size

Product photography

This sample tests 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.

Generated through manual. Archived settings were one request, first output, Midjourney V8.1 Standard, 1:1, 1024x1024, four candidates, stylize 100, weird 0, variety 0, Raw off, personalization off, Relax mode, no reference image, no negative prompt.

Open source
Typography and layoutOpen Typography and layout at original size

Typography and layout

This sample tests 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.

Generated through manual. Archived settings were one request, first output, Midjourney V8.1 Standard, 1:1, 1024x1024, four candidates, stylize 100, weird 0, variety 0, Raw off, personalization off, Relax mode, no reference image, no negative prompt.

Open source

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 12 published benchmark results

Published benchmarks

Gradually sample test: Typography and layout

The 0-100 value normalizes the mean rank from model-blind comparison rounds. One archived first output contributes per model. This remains an n = 1 sample.

Nano Banana 299.7 rank points
FLUX.2 Flex98.1 rank points
FLUX 3 Image96 rank points
Recraft V4.1 Utility95.6 rank points
Wan 2.7 Image94.1 rank points
SenseNova U1.5 Lite93.1 rank points
Kling Image 3.0 Omni92.8 rank points
Nano Banana Pro91.9 rank points
FLUX.2 Max91.6 rank points
Recraft V4.1 Flash88.5 rank points
Grok Imagine Image Quality88.2 rank points
Krea 2 Large86.3 rank points
Firefly Image Model 585.7 rank points
Muse Image85.7 rank points
FLUX 3 Image Klein84.4 rank points
Seedream 4.583.8 rank points
MAI-Image-2.582.2 rank points
Nano Banana 2 Lite82.2 rank points
Qwen Image 2.0 Pro81 rank points
Wan 2.7 Image Pro81 rank points
HunyuanImage 3.0 Instruct78.8 rank points
Krea 377.6 rank points
Seedream 5.0 Flash76.6 rank points
HiDream-O1-Image-1.575.7 rank points
Seedream 5.0 Lite75.7 rank points
Luma Uni-1.1 Max75.1 rank points
GPT Image 274.5 rank points
Grok Imagine Image 1.073.8 rank points
Nano Banana 2.172.3 rank points
Krea 2 Medium Turbo71.3 rank points
Recraft V4.1 Utility Pro71 rank points
Grok Imagine Image 2.070.7 rank points
MAI-Image-2.5 Flash70.1 rank points
Recraft V4.169.5 rank points
FLUX.2 Pro68.9 rank points
Bria FIBO 268.5 rank points
Nano Banana (Gemini 2.5 Flash Image)68.2 rank points
ChatGPT Image Latest (API-Alias)67.9 rank points
GPT Image 1 Mini67.9 rank points
Seedream 5.0 Pro67.9 rank points
Ideogram 4.067.3 rank points
Luma Uni-1.167 rank points
Seedream 4.064.8 rank points
GPT Image 2.5 Flare63.9 rank points
LLaDA-Image62 rank points
MAI-Image-2.662 rank points
GPT Image 1.559.5 rank points
FLUX.2 Klein 9B Preview55.8 rank points
Reve 2.153.9 rank points
GPT Image 2.5 Sunburst53.6 rank points
MAI-Image-2.6 Flash53.6 rank points
Qwen-Image-2.153.6 rank points
Kling Image 3.051.4 rank points
Runway Gen-4 Image51.4 rank points
MOSS-Image-Base50.8 rank points
Qwen Image 2.1 Turbo50.8 rank points
GLM-Image50.2 rank points
FLUX.2 Dev49.8 rank points
FLUX.1 Kontext [max]45.5 rank points
Hy Image 3.5 Preview45.2 rank points
FLUX1.1 [pro]42.1 rank points
LongCat-Image41.4 rank points
Wan 2.6 Text to Image41.1 rank points
Z-Image Turbo39.6 rank points
Nucleus-Image38.3 rank points
Qwen Image 2.1 Pro38.3 rank points
MiniMax Image-0137.4 rank points
Chroma1-HD36.4 rank points
Bria FIBO Lite35.5 rank points
Qwen Image 3.0 Pro35.5 rank points
Z-Image Base32.7 rank points
FLUX.2 Klein 9B32.4 rank points
Qwen Image 3.032.4 rank points
FLUX.2 Klein 4B31.8 rank points
Stable Diffusion 3 Medium30.8 rank points
Stable Diffusion 3.5 Large30.8 rank points
OmniGen229.6 rank points
Ideogram 4.528.3 rank points
Vidu Q2 Image26.8 rank points
Stable Diffusion 3.5 Large Turbo25.5 rank points
FLUX1.1 [pro] Ultra21.8 rank points
Stable Diffusion 3.5 Medium21.8 rank points
MOSS-Image-SFT21.5 rank points
Kandinsky-5.0-T2I-Lite-SFT21.2 rank points
Adobe Firefly Image 420.6 rank points
Sana-Sprint 1.6B 1024px20.6 rank points
FLUX.1 Kontext [pro]19 rank points
Lumina-Image 2.018.4 rank points
Boogu-Image-0.1-Turbo18.1 rank points
HiDream-O1-Image18.1 rank points
Adobe Firefly Image 4 Ultra16.2 rank points
Chroma1-Flash16.2 rank points
FLUX.1 [dev]16.2 rank points
Kandinsky-5.0-T2I-Lite-Pretrain16.2 rank points
Sana-Sprint 0.6B 1024px15.9 rank points
Midjourney V8.114.3 rank points
HunyuanImage 3.012.5 rank points
AuraFlow v0.311.2 rank points
BAGEL-7B-MoT11.2 rank points
Boogu-Image-0.1-Base9 rank points
SANA-1.5 4.8B 1024px8.1 rank points
LLaDA-Image-Turbo7.8 rank points
Adobe Firefly Image 36.9 rank points
Stable Diffusion XL 1.05 rank points
SDXL Turbo3.4 rank points
PixArt-Sigma-XL-2-1024-MS3.1 rank points
SANA-1.5 1.6B 1024px3.1 rank points
Stable Diffusion Turbo0 rank points

higher is betterAs of November 3, 2026Scale: 0 rank points - 100 rank points

Source: Gradually-Bildtest
gradually.ai
Methodology and context
Metric
rank-score-100
Scale
0-100
Participants
108
Sample
1
Methodology and context
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Source: Gradually-Bildtest

Gradually sample test: Product photography

The 0-100 value normalizes the mean rank from model-blind comparison rounds. One archived first output contributes per model. This remains an n = 1 sample.

MAI-Image-2.6 Flash90.3 rank points
Krea 2 Large90 rank points
Qwen Image 2.1 Turbo89.7 rank points
Qwen-Image-2.189.7 rank points
GPT Image 289.4 rank points
Seedream 5.0 Lite88.8 rank points
HunyuanImage 3.0 Instruct88.2 rank points
MAI-Image-2.688.2 rank points
BAGEL-7B-MoT87.9 rank points
Wan 2.7 Image87.9 rank points
Nano Banana 2 Lite87.2 rank points
Qwen Image 3.087.2 rank points
FLUX.2 Klein 9B86.6 rank points
GPT Image 2.5 Sunburst86.6 rank points
Wan 2.7 Image Pro86.6 rank points
MOSS-Image-SFT85.7 rank points
Bria FIBO 283.8 rank points
SenseNova U1.5 Lite83.5 rank points
Qwen Image 2.1 Pro83.2 rank points
Grok Imagine Image 1.081.3 rank points
FLUX.2 Klein 4B80.7 rank points
Krea 2 Medium Turbo80.7 rank points
Muse Image80.7 rank points
Nano Banana (Gemini 2.5 Flash Image)80.7 rank points
Seedream 5.0 Flash76.9 rank points
Seedream 5.0 Pro76.9 rank points
FLUX 3 Image Klein74.8 rank points
Reve 2.173.8 rank points
GPT Image 1 Mini73.5 rank points
FLUX.2 Klein 9B Preview72.6 rank points
Qwen Image 3.0 Pro71.3 rank points
Luma Uni-1.1 Max71 rank points
Recraft V4.171 rank points
MAI-Image-2.570.1 rank points
Nano Banana Pro70.1 rank points
Nano Banana 2.169.8 rank points
GPT Image 2.5 Flare69.2 rank points
ChatGPT Image Latest (API-Alias)68.9 rank points
Ideogram 4.568.9 rank points
Grok Imagine Image 2.067.9 rank points
FLUX.2 Flex62.6 rank points
Krea 362.6 rank points
FLUX 3 Image62 rank points
Nucleus-Image62 rank points
Kling Image 3.060.4 rank points
Luma Uni-1.159.5 rank points
FLUX.2 Max58.6 rank points
Qwen Image 2.0 Pro58.3 rank points
FLUX.2 Pro57.9 rank points
Kandinsky-5.0-T2I-Lite-Pretrain57.9 rank points
MAI-Image-2.5 Flash57.6 rank points
Wan 2.6 Text to Image53.9 rank points
GPT Image 1.552.3 rank points
HiDream-O1-Image-1.550.8 rank points
Midjourney V8.149.5 rank points
FLUX.1 [dev]46.4 rank points
FLUX.2 Dev46.4 rank points
Firefly Image Model 545.8 rank points
Nano Banana 244.9 rank points
Seedream 4.044.2 rank points
Seedream 4.544.2 rank points
Kling Image 3.0 Omni39.9 rank points
Grok Imagine Image Quality37.1 rank points
MOSS-Image-Base36.1 rank points
Recraft V4.1 Flash36.1 rank points
FLUX.1 Kontext [pro]35.8 rank points
Recraft V4.1 Utility Pro35.8 rank points
Bria FIBO Lite35.2 rank points
LLaDA-Image35.2 rank points
HunyuanImage 3.033.6 rank points
Runway Gen-4 Image32.7 rank points
Recraft V4.1 Utility32.4 rank points
Vidu Q2 Image32.4 rank points
HiDream-O1-Image31.1 rank points
MiniMax Image-0129.9 rank points
OmniGen229.9 rank points
Z-Image Turbo29.9 rank points
LongCat-Image29.3 rank points
Stable Diffusion 3.5 Medium29 rank points
FLUX.1 Kontext [max]28.7 rank points
FLUX1.1 [pro] Ultra28.3 rank points
LLaDA-Image-Turbo26.8 rank points
Sana-Sprint 1.6B 1024px26.8 rank points
Stable Diffusion 3 Medium25.9 rank points
FLUX1.1 [pro]25.5 rank points
Ideogram 4.022.1 rank points
Z-Image Base21.5 rank points
Sana-Sprint 0.6B 1024px19 rank points
Stable Diffusion 3.5 Large16.5 rank points
Adobe Firefly Image 4 Ultra15.9 rank points
Chroma1-HD15.9 rank points
Lumina-Image 2.015.9 rank points
PixArt-Sigma-XL-2-1024-MS15.9 rank points
Chroma1-Flash15.6 rank points
Hy Image 3.5 Preview15.3 rank points
AuraFlow v0.315 rank points
Kandinsky-5.0-T2I-Lite-SFT15 rank points
Adobe Firefly Image 314.6 rank points
Stable Diffusion 3.5 Large Turbo14.6 rank points
Adobe Firefly Image 413.7 rank points
Stable Diffusion XL 1.012.8 rank points
GLM-Image9 rank points
Boogu-Image-0.1-Base7.8 rank points
Boogu-Image-0.1-Turbo5.6 rank points
SDXL Turbo2.8 rank points
SANA-1.5 4.8B 1024px1.2 rank points
Stable Diffusion Turbo1.2 rank points
SANA-1.5 1.6B 1024px0.3 rank points

higher is betterAs of November 3, 2026Scale: 0 rank points - 100 rank points

Source: Gradually-Bildtest
gradually.ai
Methodology and context
Metric
rank-score-100
Scale
0-100
Participants
108
Sample
1
Methodology and context
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Source: Gradually-Bildtest

Gradually sample test: Character and detail

The 0-100 value normalizes the mean rank from model-blind comparison rounds. One archived first output contributes per model. This remains an n = 1 sample.

GPT Image 1.588.8 rank points
Qwen Image 2.0 Pro88.5 rank points
FLUX.2 Pro86.9 rank points
Krea 384.7 rank points
FLUX.2 Dev81.6 rank points
Kling Image 3.0 Omni81.6 rank points
Reve 2.180.1 rank points
Nano Banana (Gemini 2.5 Flash Image)79.4 rank points
Wan 2.6 Text to Image78.5 rank points
Wan 2.7 Image Pro78.2 rank points
Seedream 5.0 Flash75.4 rank points
FLUX.2 Flex75.1 rank points
Grok Imagine Image 2.075.1 rank points
MOSS-Image-SFT74.1 rank points
Qwen Image 3.0 Pro74.1 rank points
Seedream 4.072.9 rank points
Firefly Image Model 572.3 rank points
Z-Image Base71 rank points
Z-Image Turbo71 rank points
Bria FIBO Lite70.7 rank points
FLUX.2 Max70.4 rank points
FLUX 3 Image69.5 rank points
MAI-Image-2.5 Flash67.9 rank points
Ideogram 4.567.6 rank points
FLUX 3 Image Klein66.4 rank points
Nucleus-Image66.4 rank points
Recraft V4.1 Utility66.4 rank points
Kandinsky-5.0-T2I-Lite-SFT65.4 rank points
Qwen Image 2.1 Pro64.8 rank points
Recraft V4.1 Utility Pro64.8 rank points
GPT Image 2.5 Sunburst64.2 rank points
GPT Image 2.5 Flare63.2 rank points
Wan 2.7 Image63.2 rank points
MAI-Image-2.662.9 rank points
LLaDA-Image62.6 rank points
Qwen Image 3.061.7 rank points
FLUX.2 Klein 4B61.1 rank points
Muse Image61.1 rank points
Grok Imagine Image 1.060.7 rank points
Luma Uni-1.1 Max60.4 rank points
GPT Image 260.1 rank points
Seedream 5.0 Pro60.1 rank points
Kling Image 3.059.2 rank points
Ideogram 4.058.9 rank points
HiDream-O1-Image-1.558.3 rank points
HunyuanImage 3.0 Instruct57.9 rank points
ChatGPT Image Latest (API-Alias)57 rank points
Nano Banana 2.156.7 rank points
Grok Imagine Image Quality55.8 rank points
MAI-Image-2.554.8 rank points
Krea 2 Large54.2 rank points
FLUX.1 [dev]52.6 rank points
LLaDA-Image-Turbo52.6 rank points
Adobe Firefly Image 452.3 rank points
MAI-Image-2.6 Flash52 rank points
Midjourney V8.151.4 rank points
GLM-Image51.1 rank points
Stable Diffusion 3.5 Large Turbo51.1 rank points
Chroma1-Flash50.8 rank points
FLUX.1 Kontext [pro]50.2 rank points
Hy Image 3.5 Preview49.5 rank points
Luma Uni-1.148.6 rank points
Seedream 5.0 Lite48.6 rank points
Bria FIBO 248.3 rank points
Adobe Firefly Image 4 Ultra48 rank points
Recraft V4.148 rank points
Qwen Image 2.1 Turbo47.7 rank points
Nano Banana 2 Lite47.4 rank points
Stable Diffusion 3 Medium45.8 rank points
MOSS-Image-Base45.5 rank points
FLUX.2 Klein 9B Preview45.2 rank points
FLUX1.1 [pro] Ultra45.2 rank points
HiDream-O1-Image45.2 rank points
Recraft V4.1 Flash42.4 rank points
FLUX1.1 [pro]39.3 rank points
FLUX.2 Klein 9B38.9 rank points
Runway Gen-4 Image38.9 rank points
Nano Banana Pro37.1 rank points
Seedream 4.537.1 rank points
Nano Banana 236.4 rank points
SenseNova U1.5 Lite34.9 rank points
Qwen-Image-2.133.6 rank points
MiniMax Image-0132.7 rank points
BAGEL-7B-MoT32.4 rank points
Stable Diffusion 3.5 Medium31.1 rank points
GPT Image 1 Mini30.8 rank points
Krea 2 Medium Turbo29.9 rank points
Stable Diffusion XL 1.028 rank points
FLUX.1 Kontext [max]27.1 rank points
Adobe Firefly Image 326.8 rank points
PixArt-Sigma-XL-2-1024-MS26.8 rank points
Sana-Sprint 1.6B 1024px26.2 rank points
Vidu Q2 Image26.2 rank points
HunyuanImage 3.024.3 rank points
LongCat-Image24.3 rank points
Lumina-Image 2.023.4 rank points
Stable Diffusion 3.5 Large23.1 rank points
Chroma1-HD16.5 rank points
AuraFlow v0.316.2 rank points
Kandinsky-5.0-T2I-Lite-Pretrain14 rank points
Sana-Sprint 0.6B 1024px8.7 rank points
OmniGen27.8 rank points
Boogu-Image-0.1-Base7.5 rank points
Boogu-Image-0.1-Turbo5 rank points
Stable Diffusion Turbo4.7 rank points
SANA-1.5 1.6B 1024px4 rank points
SDXL Turbo2.8 rank points
SANA-1.5 4.8B 1024px0.3 rank points

higher is betterAs of November 3, 2026Scale: 0 rank points - 100 rank points

Source: Gradually-Bildtest
gradually.ai
Methodology and context
Metric
rank-score-100
Scale
0-100
Participants
108
Sample
1
Methodology and context
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Source: Gradually-Bildtest

Gradually sample test: Infographic

The 0-100 value normalizes the mean rank from model-blind comparison rounds. One archived first output contributes per model. This remains an n = 1 sample.

Seedream 5.0 Pro99.1 rank points
GPT Image 2.5 Sunburst97.2 rank points
GPT Image 2.5 Flare91 rank points
Luma Uni-1.189.4 rank points
Qwen Image 2.1 Turbo88.8 rank points
Qwen Image 3.088.8 rank points
Wan 2.7 Image Pro88.5 rank points
Muse Image86.3 rank points
Seedream 5.0 Flash86 rank points
Ideogram 4.585.4 rank points
Reve 2.184.7 rank points
Qwen-Image-2.182.9 rank points
ChatGPT Image Latest (API-Alias)82.6 rank points
MAI-Image-2.5 Flash81.3 rank points
SenseNova U1.5 Lite80.4 rank points
Wan 2.7 Image79.4 rank points
Krea 2 Medium Turbo78.8 rank points
Luma Uni-1.1 Max78.8 rank points
Bria FIBO 278.2 rank points
FLUX 3 Image Klein77.3 rank points
Wan 2.6 Text to Image77.3 rank points
Grok Imagine Image 1.076.9 rank points
Grok Imagine Image 2.076.6 rank points
HiDream-O1-Image-1.576.3 rank points
Krea 2 Large75.7 rank points
MOSS-Image-SFT75.4 rank points
FLUX.2 Klein 9B Preview74.8 rank points
Recraft V4.1 Utility Pro74.5 rank points
Krea 373.8 rank points
Recraft V4.1 Flash73.8 rank points
MAI-Image-2.6 Flash73.5 rank points
Recraft V4.173.2 rank points
Ideogram 4.072.6 rank points
FLUX.2 Dev72 rank points
GPT Image 1.571.7 rank points
Hy Image 3.5 Preview70.7 rank points
MOSS-Image-Base70.7 rank points
MAI-Image-2.569.2 rank points
FLUX 3 Image68.5 rank points
Seedream 4.067.3 rank points
GPT Image 266.4 rank points
Nano Banana 2 Lite65.7 rank points
Nano Banana Pro64.8 rank points
Nano Banana 2.164.2 rank points
Recraft V4.1 Utility63.9 rank points
Nano Banana 263.2 rank points
Qwen Image 2.1 Pro62 rank points
Qwen Image 2.0 Pro61.7 rank points
Qwen Image 3.0 Pro61.7 rank points
HunyuanImage 3.0 Instruct61.1 rank points
Grok Imagine Image Quality60.7 rank points
MAI-Image-2.660.7 rank points
FLUX.2 Flex57 rank points
Seedream 5.0 Lite55.8 rank points
FLUX.1 Kontext [max]53.9 rank points
FLUX.2 Max53.6 rank points
FLUX.1 Kontext [pro]52.6 rank points
Kling Image 3.051.4 rank points
FLUX.2 Pro44.6 rank points
HiDream-O1-Image42.7 rank points
FLUX.2 Klein 9B41.7 rank points
FLUX.1 [dev]39.9 rank points
Stable Diffusion 3.5 Large38.6 rank points
Z-Image Turbo37.4 rank points
Vidu Q2 Image37.1 rank points
LongCat-Image36.8 rank points
HunyuanImage 3.036.1 rank points
Nano Banana (Gemini 2.5 Flash Image)36.1 rank points
LLaDA-Image-Turbo35.8 rank points
Midjourney V8.135.2 rank points
Stable Diffusion 3 Medium34.3 rank points
Kandinsky-5.0-T2I-Lite-SFT33 rank points
LLaDA-Image32.7 rank points
Runway Gen-4 Image32.4 rank points
GPT Image 1 Mini31.8 rank points
FLUX.2 Klein 4B30.2 rank points
GLM-Image29.9 rank points
Kling Image 3.0 Omni29.6 rank points
FLUX1.1 [pro] Ultra27.7 rank points
Seedream 4.526.5 rank points
MiniMax Image-0125.5 rank points
FLUX1.1 [pro]24 rank points
Z-Image Base24 rank points
Nucleus-Image23.4 rank points
Kandinsky-5.0-T2I-Lite-Pretrain23.1 rank points
Chroma1-HD22.4 rank points
Stable Diffusion 3.5 Medium19.9 rank points
Bria FIBO Lite19.6 rank points
OmniGen219 rank points
Stable Diffusion 3.5 Large Turbo16.8 rank points
Boogu-Image-0.1-Base15.9 rank points
Lumina-Image 2.015.9 rank points
Firefly Image Model 515 rank points
Adobe Firefly Image 412.5 rank points
Chroma1-Flash12.1 rank points
Adobe Firefly Image 4 Ultra11.8 rank points
Sana-Sprint 1.6B 1024px10 rank points
Boogu-Image-0.1-Turbo8.4 rank points
SDXL Turbo8.4 rank points
SANA-1.5 1.6B 1024px7.2 rank points
AuraFlow v0.36.9 rank points
Sana-Sprint 0.6B 1024px6.9 rank points
BAGEL-7B-MoT5.9 rank points
SANA-1.5 4.8B 1024px5.6 rank points
Adobe Firefly Image 35.3 rank points
PixArt-Sigma-XL-2-1024-MS5.3 rank points
Stable Diffusion XL 1.05 rank points
Stable Diffusion Turbo4.7 rank points

higher is betterAs of November 3, 2026Scale: 0 rank points - 100 rank points

Source: Gradually-Bildtest
gradually.ai
Methodology and context
Metric
rank-score-100
Scale
0-100
Participants
108
Sample
1
Methodology and context
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Source: Gradually-Bildtest

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

LifehackedAI 2026 image failure-mode benchmark: Plastic Skin (Show measurement, test conditions, and source)
Source value
31
Score
31
Metric
Failure rate for Plastic Skin, visually reviewed output share
Unit
%
Category
image-generation
Direction
Lower is better
Sample
125
Source type
community-reported
Evaluator
LifehackedAI 2026 image failure-mode benchmark
Status
active
Retrieved at
2026-10-20
Methodology
Community-reported result. May 2026; 125 prompts across 25 use-case subcategories. The publisher describes each cell as the share of outputs visually reviewed against a paired reference image and scored for the named failure mode.
Source LifehackedAI 2026 image failure-mode benchmark
LifehackedAI 2026 image failure-mode benchmark: Identity Drift (Show measurement, test conditions, and source)
Source value
38
Score
38
Metric
Failure rate for Identity Drift, visually reviewed output share
Unit
%
Category
image-generation
Direction
Lower is better
Sample
125
Source type
community-reported
Evaluator
LifehackedAI 2026 image failure-mode benchmark
Status
active
Retrieved at
2026-10-20
Methodology
Community-reported result. May 2026; 125 prompts across 25 use-case subcategories. The publisher describes each cell as the share of outputs visually reviewed against a paired reference image and scored for the named failure mode.
Source LifehackedAI 2026 image failure-mode benchmark
LifehackedAI 2026 image failure-mode benchmark: Stock Composition (Show measurement, test conditions, and source)
Source value
17
Score
17
Metric
Failure rate for Stock Composition, visually reviewed output share
Unit
%
Category
image-generation
Direction
Lower is better
Sample
125
Source type
community-reported
Evaluator
LifehackedAI 2026 image failure-mode benchmark
Status
active
Retrieved at
2026-10-20
Methodology
Community-reported result. May 2026; 125 prompts across 25 use-case subcategories. The publisher describes each cell as the share of outputs visually reviewed against a paired reference image and scored for the named failure mode.
Source LifehackedAI 2026 image failure-mode benchmark
LifehackedAI 2026 image failure-mode benchmark: Rendered Lighting (Show measurement, test conditions, and source)
Source value
19
Score
19
Metric
Failure rate for Rendered Lighting, visually reviewed output share
Unit
%
Category
image-generation
Direction
Lower is better
Sample
125
Source type
community-reported
Evaluator
LifehackedAI 2026 image failure-mode benchmark
Status
active
Retrieved at
2026-10-20
Methodology
Community-reported result. May 2026; 125 prompts across 25 use-case subcategories. The publisher describes each cell as the share of outputs visually reviewed against a paired reference image and scored for the named failure mode.
Source LifehackedAI 2026 image failure-mode benchmark
LifehackedAI 2026 image failure-mode benchmark: Platform-Flag Risk (Show measurement, test conditions, and source)
Source value
9
Score
9
Metric
Failure rate for Platform-Flag Risk, visually reviewed output share
Unit
%
Category
image-generation
Direction
Lower is better
Sample
125
Source type
community-reported
Evaluator
LifehackedAI 2026 image failure-mode benchmark
Status
active
Retrieved at
2026-10-20
Methodology
Community-reported result. May 2026; 125 prompts across 25 use-case subcategories. The publisher describes each cell as the share of outputs visually reviewed against a paired reference image and scored for the named failure mode.
Source LifehackedAI 2026 image failure-mode benchmark
Revised Architectural AI Score (AIS-R) (Show measurement, test conditions, and source)
Source value
0.6504
Score
0.6504
Metric
AIS-R composite score
Unit
No unit provided
Benchmark version
APD-50, revised metric configuration
Category
architectural-visualization:overall
Direction
No direction published
Source type
independent-evaluator
Evaluator
Cantemir et al., Applied Sciences 16(19), 1-21 (2026), AVESIS article record
Status
active
Retrieved at
2026-10-18
Methodology
Independent evaluation. Architectural Prompt Dataset (APD-50): 50 expert-informed architectural prompts across five typologies, four images per model-prompt combination (800 images total across four models); linear mixed-effects analysis with prompt-level random intercepts. The opened abstract identifies Midjourney v8.1 but does not report its exact route, immutable checkpoint revision, generation settings, or seeds.
Context
The abstract calls AIS-R an initial exploratory formulation, not a fully validated architectural-quality framework or a substitute for professional architectural judgment. The publisher article and detailed tables could not be opened in this bounded run. The ± value's statistical meaning and the aggregation N for this score are not specified in the accessible abstract, so no confidence interval or sampleCount is entered.
Source Cantemir et al., Applied Sciences 16(19), 1-21 (2026), AVESIS article record
SandBase ecommerce poster text rendering, posters passing all checks: Midjourney V8.1 (Show measurement, test conditions, and source)
Source value
5
Score
5
Metric
Generated poster images that passed every exact required-string check
Unit
count
Direction
Higher is better
Sample
10
Source type
independent-evaluator
Evaluator
SandBase Blog
Status
active
Retrieved at
2026-10-22
Methodology
Independent evaluation. SandBase tested the same five e-commerce poster prompts with two scored images per prompt. Midjourney V8.1 has no aspect-ratio parameter; its default output was square. The table separately counts poster passes out of 10 and required-string instances out of 32.
Context
This is a narrow platform-run exact-text test, not a general image-quality score. The initial judge was compared with a second vision model on all 110 images; two human reviewers visually checked 83 of 110, and human labels were final for reviewed images. No immutable serving revisions or confidence interval are published.
Source SandBase Blog
SandBase ecommerce poster text rendering, exact required-string instances: Midjourney V8.1 (Show measurement, test conditions, and source)
Source value
25
Score
25
Metric
Required string instances rendered character-for-character correctly
Unit
count
Direction
Higher is better
Sample
32
Source type
independent-evaluator
Evaluator
SandBase Blog
Status
active
Retrieved at
2026-10-22
Methodology
Independent evaluation. SandBase tested the same five e-commerce poster prompts with two scored images per prompt. Midjourney V8.1 has no aspect-ratio parameter; its default output was square. The table separately counts poster passes out of 10 and required-string instances out of 32.
Context
This is a narrow platform-run exact-text test, not a general image-quality score. The initial judge was compared with a second vision model on all 110 images; two human reviewers visually checked 83 of 110, and human labels were final for reviewed images. No immutable serving revisions or confidence interval are published.
Source SandBase Blog

Recorded measurement details

Gradually sample test: Typography and layout (Show measurement, test conditions, and source)
Source value
14.3
Score
14.3
Metric
rank-score-100
Unit
rank score
Direction
Higher is better
Source rank
96
Sample
1
Source type
gradually-sample-test
Evaluator
gemini-3.1-pro-preview
Retrieved at
2026-11-03
Methodology
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Mean rank
92.67
Individual ranks
83, 100, 95
Criterion scores
headline 1.33, subline 1, text-control 0.67, visual-brief 1, layout 1
Source Gradually-Bildtest
Gradually sample test: Product photography (Show measurement, test conditions, and source)
Source value
49.5
Score
49.5
Metric
rank-score-100
Unit
rank score
Direction
Higher is better
Source rank
55
Sample
1
Source type
gradually-sample-test
Evaluator
gemini-3.1-pro-preview
Retrieved at
2026-11-03
Methodology
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Mean rank
55
Individual ranks
52, 48, 65
Criterion scores
subject 1.67, time 2, watch-details 1.67, photography 2, exclusions 2
Source Gradually-Bildtest
Gradually sample test: Character and detail (Show measurement, test conditions, and source)
Source value
51.4
Score
51.4
Metric
rank-score-100
Unit
rank score
Direction
Higher is better
Source rank
56
Sample
1
Source type
gradually-sample-test
Evaluator
gemini-3.1-pro-preview
Retrieved at
2026-11-03
Methodology
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Mean rank
53
Individual ranks
68, 32, 59
Criterion scores
scene 1, wardrobe 1, anatomy 1, props 1, environment 1
Source Gradually-Bildtest
Gradually sample test: Infographic (Show measurement, test conditions, and source)
Source value
35.2
Score
35.2
Metric
rank-score-100
Unit
rank score
Direction
Higher is better
Source rank
70
Sample
1
Source type
gradually-sample-test
Evaluator
gemini-3.1-pro-preview
Retrieved at
2026-11-03
Methodology
One archived image per model, using the first output of the accepted test attempt. Technical repeats are disclosed for the affected image. All 108 images are ranked in three model-blind orderings. The 0-100 value normalizes the mean rank. This remains an n = 1 sample, and an automated judge may have visual preferences of its own.
Mean rank
70.33
Individual ranks
63, 68, 80
Criterion scores
title 1.67, sequence 0.33, labels 0.33, diagram 1.33, clarity 0.67
Source Gradually-Bildtest

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 100 models

Stable Diffusion XL 1.072
Anima Base v1.068
SDXL Turbo63
Stable Diffusion Turbo63
Nano Banana 261
FLUX.2 Max55
Krea 2 Raw54
Nano Banana Pro50
FLUX.2 Pro48
MOSS-Image-SFT46
FLUX.2 Flex46
GPT Image 246
LongCat-Image45
MAI-Image-2.645
FLUX.2 Klein 9B45
PixArt-Sigma-XL-2-1024-MS44
Janus-Pro-7B44
HunyuanImage 3.0 Instruct44
MOSS-Image-Base44
Midjourney V8.135

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 5, 2026

Midjourney V8.1GPT Image 2.5 SunburstQwen Image 2.0 ProMing-Image-0.1-DesignMAI-Image-2.5 Flash

Midjourney V8.1 compared

Compare with another model

The most popular comparisons

  1. 1GPT Image 2 vs. Midjourney V8.1
  2. 2Grok Imagine Image Quality vs. Midjourney V8.1
  3. 3GPT Image 2.5 Sunburst vs. Midjourney V8.1
  4. 4Reve 2.1 vs. Midjourney V8.1
  5. 5Nano Banana 2 vs. Midjourney V8.1
  6. 6GPT Image 1.5 vs. Midjourney V8.1
  7. 7MAI-Image-2.5 vs. Midjourney V8.1
  8. 8Nano Banana Pro vs. Midjourney V8.1
  9. 9Nano Banana 2 Lite vs. Midjourney V8.1
Show all 107 comparisons
  1. 10Seedream 5.0 Pro vs. Midjourney V8.1
  2. 11FLUX.2 Max vs. Midjourney V8.1
  3. 12Qwen Image 2.0 Pro vs. Midjourney V8.1
  4. 13MAI-Image-2.5 Flash vs. Midjourney V8.1
  5. 14HiDream-O1-Image-1.5 vs. Midjourney V8.1
  6. 15Krea 2 Medium Turbo vs. Midjourney V8.1
  7. 16Seedream 4.0 vs. Midjourney V8.1
  8. 17Krea 2 Large vs. Midjourney V8.1
  9. 18Luma Uni-1.1 Max vs. Midjourney V8.1
  10. 19FLUX.2 Flex vs. Midjourney V8.1
  11. 20Recraft V4.1 Utility vs. Midjourney V8.1
  12. 21Ideogram 4.0 vs. Midjourney V8.1
  13. 22Wan 2.6 Text to Image vs. Midjourney V8.1
  14. 23FLUX.2 Pro vs. Midjourney V8.1
  15. 24HunyuanImage 3.0 Instruct vs. Midjourney V8.1
  16. 25FLUX.2 Klein 9B vs. Midjourney V8.1
  17. 26HiDream-O1-Image vs. Midjourney V8.1
  18. 27Firefly Image Model 5 vs. Midjourney V8.1
  19. 28Midjourney V8.1 vs. Stable Diffusion 3.5 Large
  20. 29Midjourney V8.1 vs. GPT Image 2.5 Flare
  21. 30Midjourney V8.1 vs. Qwen-Image-2.1
  22. 31Midjourney V8.1 vs. MAI-Image-2.6
  23. 32Midjourney V8.1 vs. MAI-Image-2.6 Flash
  24. 33Midjourney V8.1 vs. Muse Image
  25. 34Midjourney V8.1 vs. Grok Imagine Image 2.0
  26. 35Midjourney V8.1 vs. FLUX 3 Image
  27. 36Midjourney V8.1 vs. FLUX 3 Image Klein
  28. 37Midjourney V8.1 vs. Nano Banana 2.1
  29. 38Midjourney V8.1 vs. Ideogram 4.5
  30. 39Midjourney V8.1 vs. Hy Image 3.5 Preview
  31. 40Midjourney V8.1 vs. Recraft V4.1
  32. 41Midjourney V8.1 vs. Recraft V4.1 Flash
  33. 42Midjourney V8.1 vs. Bria FIBO 2
  34. 43Midjourney V8.1 vs. Krea 3
  35. 44Midjourney V8.1 vs. Qwen Image 3.0 Pro
  36. 45Midjourney V8.1 vs. Qwen Image 3.0
  37. 46Midjourney V8.1 vs. Qwen Image 2.1 Pro
  38. 47Midjourney V8.1 vs. Qwen Image 2.1 Turbo
  39. 48Midjourney V8.1 vs. Wan 2.7 Image Pro
  40. 49Midjourney V8.1 vs. Wan 2.7 Image
  41. 50Midjourney V8.1 vs. Seedream 5.0 Flash
  42. 51Midjourney V8.1 vs. SenseNova U1.5 Lite
  43. 52Midjourney V8.1 vs. Kling Image 3.0
  44. 53Midjourney V8.1 vs. Kling Image 3.0 Omni
  45. 54Midjourney V8.1 vs. Vidu Q2 Image
  46. 55Midjourney V8.1 vs. GLM-Image
  47. 56Midjourney V8.1 vs. MiniMax Image-01
  48. 57Midjourney V8.1 vs. Z-Image Turbo
  49. 58Midjourney V8.1 vs. Luma Uni-1.1
  50. 59Midjourney V8.1 vs. Runway Gen-4 Image
  51. 60Midjourney V8.1 vs. Adobe Firefly Image 3
  52. 61Midjourney V8.1 vs. Adobe Firefly Image 4
  53. 62Midjourney V8.1 vs. Adobe Firefly Image 4 Ultra
  54. 63Midjourney V8.1 vs. Stable Diffusion 3.5 Medium
  55. 64Midjourney V8.1 vs. Stable Diffusion 3.5 Large Turbo
  56. 65Midjourney V8.1 vs. Bria FIBO Lite
  57. 66Midjourney V8.1 vs. Recraft V4.1 Utility Pro
  58. 67Midjourney V8.1 vs. Seedream 4.5
  59. 68Midjourney V8.1 vs. Seedream 5.0 Lite
  60. 69Midjourney V8.1 vs. FLUX.2 Klein 9B Preview
  61. 70Midjourney V8.1 vs. GPT Image 1 Mini
  62. 71Midjourney V8.1 vs. ChatGPT Image Latest (API-Alias)
  63. 72Midjourney V8.1 vs. Nano Banana (Gemini 2.5 Flash Image)
  64. 73Midjourney V8.1 vs. FLUX.2 Klein 4B
  65. 74Midjourney V8.1 vs. FLUX.2 Dev
  66. 75Midjourney V8.1 vs. FLUX1.1 [pro]
  67. 76Midjourney V8.1 vs. FLUX1.1 [pro] Ultra
  68. 77Midjourney V8.1 vs. FLUX.1 [dev]
  69. 78Midjourney V8.1 vs. FLUX.1 Kontext [pro]
  70. 79Midjourney V8.1 vs. FLUX.1 Kontext [max]
  71. 80Midjourney V8.1 vs. Stable Diffusion XL 1.0
  72. 81Midjourney V8.1 vs. Stable Diffusion 3 Medium
  73. 82Midjourney V8.1 vs. SDXL Turbo
  74. 83Midjourney V8.1 vs. Stable Diffusion Turbo
  75. 84Midjourney V8.1 vs. Grok Imagine Image 1.0
  76. 85Midjourney V8.1 vs. MOSS-Image-Base
  77. 86Midjourney V8.1 vs. MOSS-Image-SFT
  78. 87Midjourney V8.1 vs. LLaDA-Image
  79. 88Midjourney V8.1 vs. LLaDA-Image-Turbo
  80. 89Midjourney V8.1 vs. Nucleus-Image
  81. 90Midjourney V8.1 vs. LongCat-Image
  82. 91Midjourney V8.1 vs. BAGEL-7B-MoT
  83. 92Midjourney V8.1 vs. OmniGen2
  84. 93Midjourney V8.1 vs. Kandinsky-5.0-T2I-Lite-SFT
  85. 94Midjourney V8.1 vs. Kandinsky-5.0-T2I-Lite-Pretrain
  86. 95Midjourney V8.1 vs. Boogu-Image-0.1-Base
  87. 96Midjourney V8.1 vs. Boogu-Image-0.1-Turbo
  88. 97Midjourney V8.1 vs. SANA-1.5 1.6B 1024px
  89. 98Midjourney V8.1 vs. SANA-1.5 4.8B 1024px
  90. 99Midjourney V8.1 vs. Sana-Sprint 0.6B 1024px
  91. 100Midjourney V8.1 vs. Sana-Sprint 1.6B 1024px
  92. 101Midjourney V8.1 vs. Chroma1-HD
  93. 102Midjourney V8.1 vs. Chroma1-Flash
  94. 103Midjourney V8.1 vs. AuraFlow v0.3
  95. 104Midjourney V8.1 vs. PixArt-Sigma-XL-2-1024-MS
  96. 105Midjourney V8.1 vs. Lumina-Image 2.0
  97. 106Midjourney V8.1 vs. HunyuanImage 3.0
  98. 107Midjourney V8.1 vs. Z-Image Base

All specifications

Input and output

Maximum output
2K
Source: Maximum output

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Weights
Proprietary
Source: Weights
Access
Web
Source: Access

Prices

At Midjourney from ≈ €10.60 a month (Midjourney Basic). 4 plans in Germany.

PlanMonthly priceNote
Midjourney Basic≈ €10.60developer's own plan
Midjourney Standard≈ €31.81developer's own plan
Midjourney Pro≈ €63.61developer's own plan
Midjourney Mega≈ €127.23developer's own plan

All plans in the AI subscription comparison

Frequently asked questions about Midjourney V8.1

How good is Midjourney V8.1?

Rank 73 of 108 in our own test.

GraduallyBench from Nov 3, 2026

GraduallyBenchour own rating, 0 to 100 · higher is better
Runway Gen-4 Image39
FLUX.1 Kontext [max]39
FLUX.1 [dev]39
Midjourney V8.1Rank 73 of 10838
Z-Image Base37
GLM-Image35
BAGEL-7B-MoT34

What is Midjourney V8.1 good at?

Best at Character and detail (51 out of 100), weakest at Typography and layout (14).

GraduallyBench, one image per task

  1. Midjourney V8.1: Typography and layoutTypography and layoutLegible text, hierarchy, and composition14out of 100Rank 96 of 108 in this task
  2. Midjourney V8.1: Product photographyProduct photographyMaterials, reflections, and fine details50out of 100Rank 55 of 108 in this task
  3. Midjourney V8.1: Character and detailCharacter and detailAnatomy, clothing, and spatial consistency51out of 100Rank 56 of 108 in this task
  4. Midjourney V8.1: InfographicInfographicNumbers, labels, and visual organization35out of 100Rank 70 of 108 in this task

Where can I use Midjourney V8.1?

At Midjourney with a subscription from ≈ €10.60 a month. Including other providers that makes 4 plans in Germany.

Subscription comparison, prices in Germany incl. VAT

At Midjourney

4 plans, from ≈ €10.60 a month (Midjourney Basic).

Sources and data date

Show all 12 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

No active result from the reviewed external evaluators can currently be attributed to this model. Other source evidence remains available below.

Without vendor claims and historical or disputed results; those stay labelled in the single values.

TypeEvidence and data date
Research statusResearch date October 18, 2026. 6 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Additional sourceMidjourney · Midjourney version documentation · Editorial description reviewed October 2, 2026
Additional sourceGradually-Bildtest (retrieved November 3, 2026)
Additional sourceCantemir et al., Applied Sciences 16(19), 1-21 (2026), AVESIS article record (retrieved October 18, 2026)
Additional sourceLifehackedAI 2026 image failure-mode benchmark (retrieved October 20, 2026)
Additional sourceSandBase Blog (retrieved October 22, 2026)
Additional sourceModel metadata (retrieved October 18, 2026) · Midjourney V8.1 default announcement · Editorial description reviewed October 2, 2026
Additional sourceOpenRouter: Popularity index (derived), CC BY 4.0
Additional sourceVercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional sourceOllama: cumulative downloads for the popularity index
Additional sourceReplicate: cumulative runs for the popularity index
Additional sourceGoogle Trending Now: limited feed selection for Germany and the US
Additional sourceCreative Commons Attribution 4.0