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Microsoft AIImage modelPreview

MAI-Image-2.5

MAI-Image-2.5 is rank 9 of 21 in the arena rating and rank 26 of 108 in our GraduallyBench test.

Arena ratingRank 9 of 21

1,253User voteshigher is better

GraduallyBenchRank 26 of 108

69our own rating0 to 100

PriceRank 12 of 28

$0.048per imagelower is better

PopularityRank 221 of 875

43out of 100same as last month

Summary

At $0.048 per image it is fairly cheap; a typical image model costs $0.06.

MAI-Image-2.5 combines text-to-image and image-to-image editing in a diffusion architecture with 20 billion parameters. Its model card lists a 32K context, a 1,048,576-pixel ceiling (roughly 1,024 × 1,024), and text and image inputs.

Access is available as a preview through Microsoft Foundry. Microsoft notes that preview models can have limited capabilities and no production guarantees. The model card also reports a quality jump over MAI-Image-2 based on a provider comparison.

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 openrouter with model ID microsoft/mai-image-2.5. Archived settings were aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.048508.

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 openrouter with model ID microsoft/mai-image-2.5. Archived settings were aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.048538.

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 openrouter with model ID microsoft/mai-image-2.5. Archived settings were aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.048513.

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 openrouter with model ID microsoft/mai-image-2.5. Archived settings were aspect ratio 1:1, provider default 1K resolution, n=1, seed=provider random, actual cost $0.048473.

Open source

All benchmark results

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

Show all 50 published benchmark results

Page 1 of 5

Published benchmarks

Text to image

Text to Image Arena

Elo ratings summarize pairwise comparisons within this leaderboard. They are not percentages. The scale does not express absolute quality or linear gaps between models.

GPT Image 21,187.61 Elo
MAI-Image-2.61,168.32 Elo
Nano Banana 21,141.6 Elo
Muse Image1,127.86 Elo
GPT Image 1.51,123.86 Elo
MAI-Image-2.51,120.06 Elo
Nano Banana Pro1,118.67 Elo
Nano Banana 2 Lite1,109.07 Elo
Seedream 5.0 Pro1,101.17 Elo
Qwen-Image-2.11,045.48 Elo
Krea 2 Large1,035.45 Elo
Qwen Image 2.0 Pro1,031.23 Elo
FLUX.2 Flex1,027.68 Elo
FLUX.2 Max1,020.57 Elo
Ideogram 4.51,015.99 Elo
FLUX.2 Pro1,003.17 Elo
Ideogram 4.01,002.93 Elo
FLUX.2 Klein 9B932.08 Elo

higher is betterAs of November 6, 2026Scale: 0 Elo - 1,227.25 Elo

Source: Artificial Analysis
gradually.ai
Methodology and context
Metric
elo-rating
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
30
Methodology and context
AA appearances: 14060. This count does not establish an independent sample. Lower rank: 8. Upper rank: 15. Source model ID: 3f8a2d6b-9c4e-4f1a-b7d2-8e5a0c3d71f9. Evidence capture ID: aa-image-text-to-image-v2.1-2026-11-06-e430d57b5d0b. Source payload hash: e430d57b5d0bf260d6feb60bb7d8fa32da8d7961ec2bd9a9cae58fb015613cf0
Source: Artificial Analysis

LMArena Text to Image: 3D modeling

GPT Image 2.5 Sunburst1,412.39 points
GPT Image 2.5 Flare1,381.8 points
GPT Image 21,365.33 points
MAI-Image-2.61,323.82 points
Grok Imagine Image 2.01,291.41 points
Reve 2.11,281.14 points
Nano Banana 21,255.68 points
MAI-Image-2.51,251.47 points
Seedream 5.0 Pro1,246.55 points
Muse Image1,238.45 points
Nano Banana Pro1,232.1 points
Nano Banana 2 Lite1,225.65 points
GPT Image 1.51,217.68 points
Qwen-Image-2.11,213.88 points
FLUX.2 Flex1,173.15 points
FLUX.2 Max1,160.58 points
FLUX.2 Pro1,145.47 points
HiDream-O1-Image1,120.68 points
Krea 2 Large1,115.65 points
FLUX.2 Klein 9B1,078.61 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,412.39 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
5,681
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

LMArena Text to Image: Art

GPT Image 2.5 Sunburst1,410.08 points
GPT Image 2.5 Flare1,387.35 points
GPT Image 21,370.68 points
MAI-Image-2.61,337.7 points
Grok Imagine Image 2.01,328.25 points
Reve 2.11,290.77 points
MAI-Image-2.51,276.76 points
Seedream 5.0 Pro1,258.85 points
Muse Image1,258.79 points
Nano Banana 2 Lite1,255.8 points
Nano Banana 21,239.62 points
Qwen-Image-2.11,234.74 points
GPT Image 1.51,224.81 points
Nano Banana Pro1,224.23 points
FLUX.2 Max1,168.74 points
FLUX.2 Pro1,159.34 points
FLUX.2 Flex1,155.3 points
Krea 2 Large1,122.19 points
HiDream-O1-Image1,116.78 points
FLUX.2 Klein 9B1,078.63 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,410.08 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
9,115
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

LMArena Text to Image: Cartoon

GPT Image 2.5 Sunburst1,456.88 points
GPT Image 2.5 Flare1,427.12 points
GPT Image 21,402.93 points
Grok Imagine Image 2.01,352.36 points
MAI-Image-2.61,348.71 points
Reve 2.11,309.78 points
Muse Image1,274.79 points
MAI-Image-2.51,268.65 points
Seedream 5.0 Pro1,263.52 points
Nano Banana 21,260.23 points
Nano Banana 2 Lite1,256.09 points
GPT Image 1.51,243.95 points
Nano Banana Pro1,243.91 points
Qwen-Image-2.11,234.48 points
FLUX.2 Max1,167.57 points
FLUX.2 Flex1,163.29 points
FLUX.2 Pro1,158.62 points
Krea 2 Large1,118.81 points
HiDream-O1-Image1,118.12 points
FLUX.2 Klein 9B1,063.58 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,456.88 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
24,138
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

LMArena Text to Image: Commercial design

GPT Image 2.5 Sunburst1,415.51 points
GPT Image 21,385.8 points
GPT Image 2.5 Flare1,384.8 points
MAI-Image-2.61,332.9 points
Grok Imagine Image 2.01,324.96 points
Reve 2.11,315.65 points
Nano Banana 21,267.93 points
MAI-Image-2.51,259.36 points
Muse Image1,258.15 points
Nano Banana 2 Lite1,248.4 points
Nano Banana Pro1,245.44 points
GPT Image 1.51,237.88 points
Qwen-Image-2.11,237.36 points
Seedream 5.0 Pro1,236.31 points
FLUX.2 Flex1,172.44 points
FLUX.2 Max1,163.75 points
FLUX.2 Pro1,154.5 points
HiDream-O1-Image1,129.54 points
Krea 2 Large1,110.71 points
FLUX.2 Klein 9B1,070.2 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,415.51 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
22,289
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

LMArena Text to Image: Overall

GPT Image 2.5 Sunburst1,427.13 points
GPT Image 2.5 Flare1,399.44 points
GPT Image 21,382.1 points
MAI-Image-2.61,330.58 points
Grok Imagine Image 2.01,317.31 points
Reve 2.11,300.4 points
Muse Image1,268.12 points
Nano Banana 21,257.49 points
MAI-Image-2.51,253 points
Seedream 5.0 Pro1,250.8 points
Nano Banana 2 Lite1,249.44 points
Nano Banana Pro1,246.31 points
GPT Image 1.51,236.39 points
Qwen-Image-2.11,226.55 points
FLUX.2 Max1,161.46 points
FLUX.2 Flex1,156.26 points
FLUX.2 Pro1,152.68 points
Krea 2 Large1,115.37 points
HiDream-O1-Image1,114.71 points
FLUX.2 Klein 9B1,069.84 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,427.13 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
61,222
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

LMArena Text to Image: Photorealism

GPT Image 2.5 Flare1,415.95 points
GPT Image 21,379.13 points
MAI-Image-2.61,330.88 points
Grok Imagine Image 2.01,312.19 points
Reve 2.11,302.1 points
Muse Image1,278.09 points
Seedream 5.0 Pro1,274.42 points
Nano Banana 21,261.31 points
Nano Banana Pro1,260.39 points
Nano Banana 2 Lite1,258.64 points
MAI-Image-2.51,250.67 points
GPT Image 1.51,246.79 points
Qwen-Image-2.11,229.66 points
FLUX.2 Max1,160.87 points
FLUX.2 Pro1,151.76 points
FLUX.2 Flex1,145.47 points
Krea 2 Large1,128.88 points
HiDream-O1-Image1,109.06 points
FLUX.2 Klein 9B1,091.05 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,434.4 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
23,657
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

LMArena Text to Image: Portraits

GPT Image 2.5 Sunburst1,461.22 points
GPT Image 2.5 Flare1,439.29 points
GPT Image 21,426.27 points
MAI-Image-2.61,341.91 points
Grok Imagine Image 2.01,332.04 points
Reve 2.11,316.59 points
Muse Image1,289.88 points
Seedream 5.0 Pro1,286.94 points
GPT Image 1.51,258.96 points
Qwen-Image-2.11,256.2 points
Nano Banana Pro1,255.64 points
Nano Banana 21,254.9 points
MAI-Image-2.51,254.78 points
Nano Banana 2 Lite1,244.1 points
FLUX.2 Max1,156.6 points
FLUX.2 Pro1,144.32 points
FLUX.2 Flex1,143.85 points
Krea 2 Large1,123.58 points
HiDream-O1-Image1,105.31 points
FLUX.2 Klein 9B1,091.81 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,461.22 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
11,781
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

LMArena Text to Image: Text rendering

GPT Image 2.5 Sunburst1,461.65 points
GPT Image 2.5 Flare1,431.87 points
GPT Image 21,424.21 points
MAI-Image-2.61,365.86 points
Grok Imagine Image 2.01,349.22 points
Reve 2.11,339.46 points
Nano Banana 21,294.44 points
Muse Image1,293.25 points
MAI-Image-2.51,280.73 points
Nano Banana 2 Lite1,273.63 points
Nano Banana Pro1,270.33 points
Seedream 5.0 Pro1,254.93 points
GPT Image 1.51,251.47 points
Qwen-Image-2.11,250.12 points
FLUX.2 Flex1,171.57 points
FLUX.2 Max1,165.6 points
FLUX.2 Pro1,154.35 points
HiDream-O1-Image1,134.31 points
Krea 2 Large1,116.42 points
FLUX.2 Klein 9B1,057.76 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,461.65 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
20,837
Methodology and context
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source: LMArena

Image editing

Image Editing Arena

Elo ratings summarize pairwise comparisons within this leaderboard. They are not percentages. The scale does not express absolute quality or linear gaps between models.

MAI-Image-2.61,149.25 Elo
GPT Image 21,135.9 Elo
Seedream 5.0 Pro1,129.43 Elo
Muse Image1,128.02 Elo
Nano Banana 21,125.1 Elo
MAI-Image-2.51,124.35 Elo
GPT Image 1.51,116.41 Elo
Nano Banana Pro1,108.99 Elo
Qwen-Image-2.11,080.38 Elo
Ideogram 4.51,066.78 Elo
Qwen Image 2.0 Pro1,056.78 Elo
Nano Banana 2 Lite1,053.63 Elo
FLUX.2 Klein 9B1,012.79 Elo
FLUX.2 Pro1,011.07 Elo
FLUX.2 Max998.84 Elo
FLUX.2 Flex995.52 Elo

higher is betterAs of November 6, 2026Scale: 0 Elo - 1,199.46 Elo

Source: Artificial Analysis
gradually.ai
Methodology and context
Metric
elo-rating
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
24
Methodology and context
AA appearances: 13849. This count does not establish an independent sample. Lower rank: 9. Upper rank: 16. Source model ID: 3f8a2d6b-9c4e-4f1a-b7d2-8e5a0c3d71f9. Evidence capture ID: aa-image-image-editing-v2.1-2026-11-06-0a4f79bb0933. Source payload hash: 0a4f79bb0933c8ef52ce1327ef382eb3442dab864e254d37ecd3176d39727555
Source: Artificial Analysis

LMArena Image Editing: Overall

GPT Image 2.5 Flare1,482.13 points
GPT Image 21,460.09 points
Grok Imagine Image 2.01,438.04 points
MAI-Image-2.61,426.31 points
MAI-Image-2.51,400.28 points
Muse Image1,399.39 points
Seedream 5.0 Pro1,390.94 points
Nano Banana Pro1,390.2 points
Nano Banana 21,386.55 points
Reve 2.11,373.54 points
GPT Image 1.51,367.95 points
Qwen-Image-2.11,363.71 points
Ideogram 4.51,346.64 points
Nano Banana 2 Lite1,312.98 points
FLUX.2 Max1,261.49 points
FLUX.2 Pro1,248.1 points
FLUX.2 Flex1,224.55 points
FLUX.2 Klein 9B1,224.37 points

higher is betterAs of November 6, 2026Scale: 0 points - 1,517.3 points

Source: LMArena
gradually.ai
Methodology and context
Metric
arena-score
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
190,011
Methodology and context
Evidence capture ID: lmarena-image_edit-5a7e6bb84a93f55df56b198be8e56e53755a216a-4db53937a0d3. Source payload hash: 4db53937a0d39e716e49e4c3fb1b88c68578a094c4339bb7c714dbedfd0a85d0
Source: LMArena

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
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
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
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
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
OmniGen229.6 rank points
Ideogram 4.528.3 rank points
Vidu Q2 Image26.8 rank points
FLUX1.1 [pro] Ultra21.8 rank points
MOSS-Image-SFT21.5 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
Chroma1-Flash16.2 rank points
FLUX.1 [dev]16.2 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
SANA-1.5 4.8B 1024px8.1 rank points
LLaDA-Image-Turbo7.8 rank points
Adobe Firefly Image 36.9 rank points
SDXL Turbo3.4 rank points
SANA-1.5 1.6B 1024px3.1 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

Recorded measurement details

Text to Image Arena (Show measurement, test conditions, and source)
Source value
1120.06
Score
1120.06
Metric
elo-rating
Unit
Elo
Benchmark version
v2.1
Direction
Higher is better
Source rank
11
Confidence interval
11
Lower confidence bound
1109.06
Upper confidence bound
1131.06
Source type
independent-evaluator
Evaluator
Artificial Analysis
Retrieved at
2026-11-06
Methodology
AA appearances: 14060. This count does not establish an independent sample. Lower rank: 8. Upper rank: 15. Source model ID: 3f8a2d6b-9c4e-4f1a-b7d2-8e5a0c3d71f9. Evidence capture ID: aa-image-text-to-image-v2.1-2026-11-06-e430d57b5d0b. Source payload hash: e430d57b5d0bf260d6feb60bb7d8fa32da8d7961ec2bd9a9cae58fb015613cf0
USD price per 1,000 tokens
48.128
Source Artificial Analysis
Image Editing Arena (Show measurement, test conditions, and source)
Source value
1124.35
Score
1124.35
Metric
elo-rating
Unit
Elo
Benchmark version
v2.1
Direction
Higher is better
Source rank
12
Confidence interval
12
Lower confidence bound
1112.35
Upper confidence bound
1136.35
Source type
independent-evaluator
Evaluator
Artificial Analysis
Retrieved at
2026-11-06
Methodology
AA appearances: 13849. This count does not establish an independent sample. Lower rank: 9. Upper rank: 16. Source model ID: 3f8a2d6b-9c4e-4f1a-b7d2-8e5a0c3d71f9. Evidence capture ID: aa-image-image-editing-v2.1-2026-11-06-0a4f79bb0933. Source payload hash: 0a4f79bb0933c8ef52ce1327ef382eb3442dab864e254d37ecd3176d39727555
USD price per 1,000 tokens
48.128
Source Artificial Analysis
LMArena Text to Image: 3D modeling (Show measurement, test conditions, and source)
Source value
1251.4749998591262
Score
1251.4749998591262
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
12
Sample
5681
Confidence interval
8.792342
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Text to Image: Art (Show measurement, test conditions, and source)
Source value
1276.7593080459058
Score
1276.7593080459058
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
10
Sample
9115
Confidence interval
7.5566
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Text to Image: Cartoon (Show measurement, test conditions, and source)
Source value
1268.645996588385
Score
1268.645996588385
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
14
Sample
24138
Confidence interval
5.827395
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Text to Image: Commercial design (Show measurement, test conditions, and source)
Source value
1259.3595988476006
Score
1259.3595988476006
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
13
Sample
22289
Confidence interval
5.862582
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Text to Image: Overall (Show measurement, test conditions, and source)
Source value
1252.9980152973003
Score
1252.9980152973003
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
15
Sample
61222
Confidence interval
4.176623
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Text to Image: Photorealism (Show measurement, test conditions, and source)
Source value
1250.667020609761
Score
1250.667020609761
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
18
Sample
23657
Confidence interval
5.822539
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Text to Image: Portraits (Show measurement, test conditions, and source)
Source value
1254.784489992374
Score
1254.784489992374
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
19
Sample
11781
Confidence interval
6.93076
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Text to Image: Text rendering (Show measurement, test conditions, and source)
Source value
1280.7272478853972
Score
1280.7272478853972
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
15
Sample
20837
Confidence interval
6.063817
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-text_to_image-5a7e6bb84a93f55df56b198be8e56e53755a216a-43df833a690f. Source payload hash: 43df833a690f9454a344fb4d803c0c2ec845d592681e7f95e9ac50f1c0b25d4a
Source LMArena
LMArena Image Editing: Overall (Show measurement, test conditions, and source)
Source value
1400.2754917238008
Score
1400.2754917238008
Metric
arena-score
Unit
score
Direction
Higher is better
Source rank
12
Sample
190011
Confidence interval
3.687129
Source type
official-leaderboard
Evaluator
LMArena
Retrieved at
2026-11-06
Methodology
Evidence capture ID: lmarena-image_edit-5a7e6bb84a93f55df56b198be8e56e53755a216a-4db53937a0d3. Source payload hash: 4db53937a0d39e716e49e4c3fb1b88c68578a094c4339bb7c714dbedfd0a85d0
Source LMArena
Gradually sample test: Typography and layout (Show measurement, test conditions, and source)
Source value
82.2
Score
82.2
Metric
rank-score-100
Unit
rank score
Direction
Higher is better
Source rank
17
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
20
Individual ranks
17, 26, 17
Criterion scores
headline 1.33, subline 1.33, text-control 1.33, visual-brief 1.33, layout 1.33
Source Gradually-Bildtest

Page 1 of 5

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

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

Over time

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

MAI-Image-2.5HiDream-O1-ImageHunyuanImage 3.0 InstructFLUX.2 Klein 9BMAI-Image-2.6

MAI-Image-2.5 compared

Compare with another model

The most popular comparisons

  1. 1MAI-Image-2.5 vs. Nano Banana 2.1
  2. 2GPT Image 2.5 Sunburst vs. MAI-Image-2.5
  3. 3GPT Image 2 vs. MAI-Image-2.5
  4. 4Reve 2.1 vs. MAI-Image-2.5
  5. 5Nano Banana 2 vs. MAI-Image-2.5
  6. 6Midjourney V8.2 vs. MAI-Image-2.5
  7. 7GPT Image 1.5 vs. MAI-Image-2.5
  8. 8MAI-Image-2.5 vs. Nano Banana Pro
  9. 9MAI-Image-2.5 vs. Nano Banana 2 Lite
Show all 108 comparisons
  1. 10MAI-Image-2.5 vs. Seedream 5.0 Pro
  2. 11MAI-Image-2.5 vs. Grok Imagine Image Quality
  3. 12MAI-Image-2.5 vs. FLUX.2 Max
  4. 13MAI-Image-2.5 vs. Qwen Image 2.0 Pro
  5. 14MAI-Image-2.5 vs. MAI-Image-2.5 Flash
  6. 15MAI-Image-2.5 vs. HiDream-O1-Image-1.5
  7. 16MAI-Image-2.5 vs. Krea 2 Medium Turbo
  8. 17MAI-Image-2.5 vs. Seedream 4.0
  9. 18MAI-Image-2.5 vs. Krea 2 Large
  10. 19MAI-Image-2.5 vs. Luma Uni-1.1 Max
  11. 20MAI-Image-2.5 vs. FLUX.2 Flex
  12. 21MAI-Image-2.5 vs. Recraft V4.1 Utility
  13. 22MAI-Image-2.5 vs. Ideogram 4.0
  14. 23MAI-Image-2.5 vs. Wan 2.6 Text to Image
  15. 24MAI-Image-2.5 vs. FLUX.2 Pro
  16. 25MAI-Image-2.5 vs. HunyuanImage 3.0 Instruct
  17. 26MAI-Image-2.5 vs. FLUX.2 Klein 9B
  18. 27MAI-Image-2.5 vs. HiDream-O1-Image
  19. 28MAI-Image-2.5 vs. Firefly Image Model 5
  20. 29MAI-Image-2.5 vs. Midjourney V8.1
  21. 30MAI-Image-2.5 vs. Stable Diffusion 3.5 Large
  22. 31MAI-Image-2.5 vs. GPT Image 2.5 Flare
  23. 32MAI-Image-2.5 vs. Qwen-Image-2.1
  24. 33MAI-Image-2.5 vs. MAI-Image-2.6
  25. 34MAI-Image-2.5 vs. MAI-Image-2.6 Flash
  26. 35MAI-Image-2.5 vs. Muse Image
  27. 36MAI-Image-2.5 vs. Grok Imagine Image 2.0
  28. 37MAI-Image-2.5 vs. FLUX 3 Image
  29. 38MAI-Image-2.5 vs. FLUX 3 Image Klein
  30. 39MAI-Image-2.5 vs. Ideogram 4.5
  31. 40MAI-Image-2.5 vs. Hy Image 3.5 Preview
  32. 41MAI-Image-2.5 vs. Recraft V4.1
  33. 42MAI-Image-2.5 vs. Recraft V4.1 Flash
  34. 43MAI-Image-2.5 vs. Bria FIBO 2
  35. 44MAI-Image-2.5 vs. Krea 3
  36. 45MAI-Image-2.5 vs. Qwen Image 3.0 Pro
  37. 46MAI-Image-2.5 vs. Qwen Image 3.0
  38. 47MAI-Image-2.5 vs. Qwen Image 2.1 Pro
  39. 48MAI-Image-2.5 vs. Qwen Image 2.1 Turbo
  40. 49MAI-Image-2.5 vs. Wan 2.7 Image Pro
  41. 50MAI-Image-2.5 vs. Wan 2.7 Image
  42. 51MAI-Image-2.5 vs. Seedream 5.0 Flash
  43. 52MAI-Image-2.5 vs. SenseNova U1.5 Lite
  44. 53MAI-Image-2.5 vs. Kling Image 3.0
  45. 54MAI-Image-2.5 vs. Kling Image 3.0 Omni
  46. 55MAI-Image-2.5 vs. Vidu Q2 Image
  47. 56MAI-Image-2.5 vs. GLM-Image
  48. 57MAI-Image-2.5 vs. MiniMax Image-01
  49. 58MAI-Image-2.5 vs. Z-Image Turbo
  50. 59MAI-Image-2.5 vs. Luma Uni-1.1
  51. 60MAI-Image-2.5 vs. Runway Gen-4 Image
  52. 61MAI-Image-2.5 vs. Adobe Firefly Image 3
  53. 62MAI-Image-2.5 vs. Adobe Firefly Image 4
  54. 63MAI-Image-2.5 vs. Adobe Firefly Image 4 Ultra
  55. 64MAI-Image-2.5 vs. Stable Diffusion 3.5 Medium
  56. 65MAI-Image-2.5 vs. Stable Diffusion 3.5 Large Turbo
  57. 66MAI-Image-2.5 vs. Bria FIBO Lite
  58. 67MAI-Image-2.5 vs. Recraft V4.1 Utility Pro
  59. 68MAI-Image-2.5 vs. Seedream 4.5
  60. 69MAI-Image-2.5 vs. Seedream 5.0 Lite
  61. 70MAI-Image-2.5 vs. FLUX.2 Klein 9B Preview
  62. 71MAI-Image-2.5 vs. GPT Image 1 Mini
  63. 72MAI-Image-2.5 vs. ChatGPT Image Latest (API-Alias)
  64. 73MAI-Image-2.5 vs. Nano Banana (Gemini 2.5 Flash Image)
  65. 74MAI-Image-2.5 vs. FLUX.2 Klein 4B
  66. 75MAI-Image-2.5 vs. FLUX.2 Dev
  67. 76MAI-Image-2.5 vs. FLUX1.1 [pro]
  68. 77MAI-Image-2.5 vs. FLUX1.1 [pro] Ultra
  69. 78MAI-Image-2.5 vs. FLUX.1 [dev]
  70. 79MAI-Image-2.5 vs. FLUX.1 Kontext [pro]
  71. 80MAI-Image-2.5 vs. FLUX.1 Kontext [max]
  72. 81MAI-Image-2.5 vs. Stable Diffusion XL 1.0
  73. 82MAI-Image-2.5 vs. Stable Diffusion 3 Medium
  74. 83MAI-Image-2.5 vs. SDXL Turbo
  75. 84MAI-Image-2.5 vs. Stable Diffusion Turbo
  76. 85MAI-Image-2.5 vs. Grok Imagine Image 1.0
  77. 86MAI-Image-2.5 vs. MOSS-Image-Base
  78. 87MAI-Image-2.5 vs. MOSS-Image-SFT
  79. 88MAI-Image-2.5 vs. LLaDA-Image
  80. 89MAI-Image-2.5 vs. LLaDA-Image-Turbo
  81. 90MAI-Image-2.5 vs. Nucleus-Image
  82. 91MAI-Image-2.5 vs. LongCat-Image
  83. 92MAI-Image-2.5 vs. BAGEL-7B-MoT
  84. 93MAI-Image-2.5 vs. OmniGen2
  85. 94MAI-Image-2.5 vs. Kandinsky-5.0-T2I-Lite-SFT
  86. 95MAI-Image-2.5 vs. Kandinsky-5.0-T2I-Lite-Pretrain
  87. 96MAI-Image-2.5 vs. Boogu-Image-0.1-Base
  88. 97MAI-Image-2.5 vs. Boogu-Image-0.1-Turbo
  89. 98MAI-Image-2.5 vs. SANA-1.5 1.6B 1024px
  90. 99MAI-Image-2.5 vs. SANA-1.5 4.8B 1024px
  91. 100MAI-Image-2.5 vs. Sana-Sprint 0.6B 1024px
  92. 101MAI-Image-2.5 vs. Sana-Sprint 1.6B 1024px
  93. 102MAI-Image-2.5 vs. Chroma1-HD
  94. 103MAI-Image-2.5 vs. Chroma1-Flash
  95. 104MAI-Image-2.5 vs. AuraFlow v0.3
  96. 105MAI-Image-2.5 vs. PixArt-Sigma-XL-2-1024-MS
  97. 106MAI-Image-2.5 vs. Lumina-Image 2.0
  98. 107MAI-Image-2.5 vs. HunyuanImage 3.0
  99. 108MAI-Image-2.5 vs. Z-Image Base

All specifications

Architecture

Parameters
20B
Source: Parameters

Input and output

Maximum output
1,048,576 pixels
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
API, Web
Source: Access
Lifecycle
Preview in Microsoft Foundry
Source: Lifecycle

Prices

Choose a price view
Representative price
$0.048128 per imageSource
OpenRouter (microsoft/mai-image-2.5)
$0.06 per image (estimated)Source

No Microsoft AI subscription includes this model. Through other providers from €19.04 a month (Magnific Premium, with limited credits). 6 plans in Germany.

Filter plans
PlanMonthly priceNote
Magnific Premium€19.04with limited credit
Magnific Premium+€42.84with limited credit
Magnific Business€70.21with limited credit, for teams, per seat
Magnific Pro Starter€104.72with limited credit
Magnific Pro€273.70with limited credit
Magnific Enterprisen/afor enterprises

All plans in the AI subscription comparison

Frequently asked questions about MAI-Image-2.5

How good is MAI-Image-2.5?

Rank 9 of 21 in the arena rating. Rank 26 of 108 in our own test.

Arena rating from Nov 6, 2026 · GraduallyBench from Nov 3, 2026

Arena ratingfrom user votes · higher is better
Reve 2.11,300
Muse Image1,268
Nano Banana 21,257
MAI-Image-2.5Rank 9 of 211,253
Seedream 5.0 Pro1,251
Nano Banana 2 Lite1,249
Nano Banana Pro1,246
GraduallyBenchour own rating, 0 to 100 · higher is better
Qwen Image 2.1 Turbo69
MAI-Image-2.5 Flash69
ChatGPT Image Latest (API-Alias)69
MAI-Image-2.5Rank 26 of 10869
FLUX.2 Max69
MAI-Image-2.668
GPT Image 1.568

What is MAI-Image-2.5 good at?

Best at Typography and layout (82 out of 100), weakest at Character and detail (55).

GraduallyBench, one image per task

  1. MAI-Image-2.5: Typography and layoutTypography and layoutLegible text, hierarchy, and composition82out of 100Rank 17 of 108 in this task
  2. MAI-Image-2.5: Product photographyProduct photographyMaterials, reflections, and fine details70out of 100Rank 34 of 108 in this task
  3. MAI-Image-2.5: Character and detailCharacter and detailAnatomy, clothing, and spatial consistency55out of 100Rank 50 of 108 in this task
  4. MAI-Image-2.5: InfographicInfographicNumbers, labels, and visual organization69out of 100Rank 38 of 108 in this task

How much does an image with MAI-Image-2.5 cost?

About $0.048 per image. That is fairly cheap: a typical image model costs $0.06.

Price per imageDollars per image · lower is better
Recraft V4.1 Utility$0.035
MAI-Image-2.6$0.039
HiDream-O1-Image$0.04
MAI-Image-2.5Rank 12 of 28$0.048
Grok Imagine Image Quality$0.05
Krea 2 Large$0.06
FLUX.2 Flex$0.06

Where can I use MAI-Image-2.5?

Not in a Microsoft AI subscription. Including other providers that makes 6 plans in Germany.

Subscription comparison, prices in Germany incl. VAT

At Microsoft AI

No Microsoft AI subscription includes this model.

Through other providers

6 plans from 1 provider, from €19.04 a month (Magnific Premium), with limited credits.

Sources and data date

Show all 25 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 16, 2026. 13 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published

immutable-serving-weights

Note

ImageBench names route fal/microsoft/mai-image-2.5; the CSV and README do not establish the exact checkpoint or immutable served weights.

Not published

generation-configuration-and-date

Note

The pinned aggregate CSV and README do not give this row's generation parameters, output resolution, or model-specific execution date.

Not published

category-and-eps-denominators

Note

Only the 192-prompt overall and pass-rate population is explicit. The aggregate sources provide no metric-specific N for EPS or category rates, so none is inferred from the total image count.

Not published

pixazo-per-model-sample-count-and-uncertainty

Original wording

The Pixazo page gives 10 prompt groups and 1,050 pairwise comparisons over 21 models but no per-model Elo denominator or confidence interval; the aggregate comparison count is not substituted for either.

Not published

pixazo-serving-identity-and-run-date

Original wording

Pixazo lists MAI-Image 2.5 (Microsoft) and a September 2026 leaderboard update, but not an immutable model-serving revision, generation settings, exact prompt set, or model-specific execution date.

Not published

exact-serving-revision

Note

The evaluator shows the exact product row but does not disclose an API route or serving checkpoint revision.

Unresolved

model-card sample size and topic-specific settings

Note

The card does not report the MAI-Image-2.5 evaluation N, topic prompt set, or a confidence interval for its published Elo column.

Additional sourceMicrosoft AI (retrieved October 19, 2026) · Microsoft MAI-Image-2.5 model card · Editorial description reviewed October 2, 2026
Additional sourceImage pricing (retrieved October 17, 2026; October 28, 2026; November 3, 2026; November 5, 2026; November 6, 2026)
Additional sourceLifecycle data · Microsoft Foundry MAI image models documentation · Editorial description reviewed October 2, 2026
Additional sourceOpenRouter
Additional sourceArtificial Analysis (retrieved October 17, 2026; October 28, 2026; November 3, 2026; November 5, 2026; November 6, 2026)
Additional sourceLMArena (retrieved November 6, 2026)12
Additional sourceGradually-Bildtest (retrieved November 3, 2026)
Additional sourceImageBench (retrieved October 16, 2026)
Additional sourcePixazo AI Image Generation Leaderboard 2026 (retrieved October 17, 2026)
Additional sourceMassing Labs ArchViz Arena (retrieved October 17, 2026)
Additional sourcetwchrischang MAI-image-benchmark run summary (retrieved October 20, 2026)12
Additional sourceRapidata text-to-image human feedback benchmark (retrieved October 23, 2026)
Additional sourceRapidata benchmark.ai General image benchmark (retrieved October 28, 2026)
Additional sourceModel metadata (retrieved October 16, 2026)
Additional sourceModel metadata (retrieved October 17, 2026)
Additional sourceModel metadata (retrieved October 28, 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
Additional sourceMicrosoft AI: Introducing MAI-Image-2.5 (2026-09-19)