Head-to-head comparison

Nano Banana Pro vs. Wan 2.6 Text to Image

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: 25
shared sample prompts: 4
latest arena retrieval: 2026-09-22

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 Nano Banana Pro and Wan 2.6 Text to Image
Attribute	Nano Banana Pro	Wan 2.6 Text to Image
Provider	Google	Alibaba
Released	November 2025	January 2026
Access	API, Web app	API
Lifecycle	No separate lifecycle notice	No separate lifecycle notice
Weights	Proprietary	Proprietary
Parameters	Not published	Not published
Maximum output	4K	2K
Arena configuration	Gemini 3 Pro Image	Text to Image
Text-to-image price	$134 per 1,000 images	$30 per 1,000 images
Editing price	$134 per 1,000 images	No arena entry
Technical source	Model sourceVerified 2026-08-15	Model sourceVerified 2026-08-15

Nano Banana ProWan 2.6 Text to Image

Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels

Nano Banana Pro$134

Wan 2.6 Text to Image$30

Key to the marks:better valuebetter, but not conclusivetie

Prompt adherence and specialist tests

Shared capability benchmarks

Both checkpoints completed the same four Gradually sample tasks. For each task, 30 archived first outputs are ranked in three differently ordered, model-blind passes. The published 0-100 value normalizes the mean rank. It must still be read as an n = 1 sample per model. This pair also shares 12 results from published research benchmarks.

Nano Banana ProWan 2.6 Text to Image

Gradually sample test: Typography and layoutMean of three blind ranks across all 30 first outputs, n = 1 each

Nano Banana Pro89.7 / 100

Wan 2.6 Text to Image13.8 / 100

Gradually sample test: Product photographyMean of three blind ranks across all 30 first outputs, n = 1 each

Nano Banana Pro51.7 / 100

Wan 2.6 Text to Image14.9 / 100

Gradually sample test: Character and detailMean of three blind ranks across all 30 first outputs, n = 1 each

Nano Banana Pro39.1 / 100

Wan 2.6 Text to Image88.5 / 100

Gradually sample test: InfographicMean of three blind ranks across all 30 first outputs, n = 1 each

Nano Banana Pro34.5 / 100

Wan 2.6 Text to Image48.3 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for Nano Banana Pro and Wan 2.6 Text to Image
Benchmark	Nano Banana Pro	Wan 2.6 Text to Image
GEBench Chinese, single-step	Higher benchmark score84.5 / 100	64.2 / 100
GEBench Chinese, multi-step	Higher benchmark score68.65 / 100	50.11 / 100
GEBench Chinese, fictional app	Higher benchmark score65.75 / 100	52.72 / 100
GEBench Chinese, real app	Higher benchmark score64.35 / 100	50.4 / 100
GEBench Chinese, grounding	Higher benchmark score64.83 / 100	59.58 / 100
GEBench Chinese, overall	Higher benchmark score69.62 / 100	55.4 / 100
GEBench English, single-step	Higher benchmark score84.32 / 100	60.17 / 100
GEBench English, multi-step	Higher benchmark score69.51 / 100	44.36 / 100
GEBench English, fictional app	46.33 / 100	Higher benchmark score49.55 / 100
GEBench English, real app	Higher benchmark score47.2 / 100	44.8 / 100
GEBench English, grounding	Higher benchmark score58.64 / 100	53.36 / 100
GEBench English, overall	Higher benchmark score61.2 / 100	50.45 / 100
Gradually sample test: Typography and layout	Higher blind-rank score89.7 / 100 Mean rank: 4 (4 / 1 / 7) Five rubric scores Headline: 1.67 / 2 Subline: 1.67 / 2 Text control: 1.67 / 2 Visual brief: 1.67 / 2 Layout: 1.67 / 2	13.8 / 100 Mean rank: 26 (26 / 26 / 26) Five rubric scores Headline: 1 / 2 Subline: 1.67 / 2 Text control: 1 / 2 Visual brief: 1.67 / 2 Layout: 1 / 2
Gradually sample test: Product photography	Higher blind-rank score51.7 / 100 Mean rank: 15 (3 / 21 / 21) Five rubric scores Subject: 1.67 / 2 Time: 1.33 / 2 Watch details: 1.67 / 2 Photography: 1.67 / 2 Exclusions: 1.67 / 2	14.9 / 100 Mean rank: 25.67 (25 / 26 / 26) Five rubric scores Subject: 1.67 / 2 Time: 1.67 / 2 Watch details: 1.67 / 2 Photography: 1.33 / 2 Exclusions: 1.33 / 2
Gradually sample test: Character and detail	39.1 / 100 Mean rank: 18.67 (5 / 22 / 29) Five rubric scores Scene: 1 / 2 Wardrobe: 1 / 2 Anatomy: 1 / 2 Props: 1 / 2 Environment: 1 / 2	Higher blind-rank score88.5 / 100 Mean rank: 4.33 (1 / 9 / 3) Five rubric scores Scene: 1 / 2 Wardrobe: 1 / 2 Anatomy: 1 / 2 Props: 1 / 2 Environment: 1 / 2
Gradually sample test: Infographic	34.5 / 100 Mean rank: 20 (19 / 21 / 20) Five rubric scores Title: 1.67 / 2 Sequence: 1.67 / 2 Labels: 0.67 / 2 Diagram: 1.67 / 2 Clarity: 1 / 2	Higher blind-rank score48.3 / 100 Mean rank: 16 (14 / 18 / 16) Five rubric scores Title: 1.67 / 2 Sequence: 1.67 / 2 Labels: 1 / 2 Diagram: 1.67 / 2 Clarity: 1 / 2
Key to the marks:better valuebetter, but not conclusivetie

Independent preference tests

Shared arena benchmarks

Artificial Analysis and Arena derive scores from blind comparisons. Raters see outputs for the same prompt and choose the image they prefer. Separate series cover text rendering, photorealism, portraits, art, commercial design, and image editing. Confidence intervals indicate how certain a measured lead is.

9 shared result series

Nano Banana ProWan 2.6 Text to Image

Text to Image ArenaBlind preference from the same prompt, higher is better

Nano Banana Pro1,100 Elo

Wan 2.6 Text to Image1,013 Elo

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

Nano Banana Pro1,231.053

Wan 2.6 Text to Image1,146.23

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

Nano Banana Pro1,223.222

Wan 2.6 Text to Image1,159.207

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

Nano Banana Pro1,242.36

Wan 2.6 Text to Image1,146.213

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

Nano Banana Pro1,245.874

Wan 2.6 Text to Image1,147.938

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

Nano Banana Pro1,246.241

Wan 2.6 Text to Image1,136.586

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

Nano Banana Pro1,259.845

Wan 2.6 Text to Image1,128.939

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

Nano Banana Pro1,256.799

Wan 2.6 Text to Image1,123.606

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

Nano Banana Pro1,269.94

Wan 2.6 Text to Image1,148.597

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for Nano Banana Pro and Wan 2.6 Text to Image
Benchmark	Nano Banana Pro	Wan 2.6 Text to Image	Source
Text to Image Arena	Higher score1,100 Elo Rank 10, 95% confidence interval: ±8, 15,977 ratings	1,013 Elo Rank 31, 95% confidence interval: ±9, 5,197 ratings	Artificial AnalysisRetrieved 2026-09-22
LMArena Text to Image: 3D modeling	Higher score1,231.053 Rank 12, 95% confidence interval: ±6.77, 14,827 ratings	1,146.23 Rank 34, 95% confidence interval: ±6.22, 19,059 ratings	LMArenaRetrieved 2026-09-19
LMArena Text to Image: Art	Higher score1,223.222 Rank 15, 95% confidence interval: ±5.95, 21,618 ratings	1,159.207 Rank 30, 95% confidence interval: ±5.69, 25,966 ratings	LMArenaRetrieved 2026-09-19
LMArena Text to Image: Cartoon	Higher score1,242.36 Rank 15, 95% confidence interval: ±4.73, 61,392 ratings	1,146.213 Rank 33, 95% confidence interval: ±4.36, 80,740 ratings	LMArenaRetrieved 2026-09-19
LMArena Text to Image: Commercial design	Higher score1,245.874 Rank 13, 95% confidence interval: ±4.66, 54,136 ratings	1,147.938 Rank 34, 95% confidence interval: ±4.26, 75,048 ratings	LMArenaRetrieved 2026-09-19
LMArena Text to Image: Overall	Higher score1,246.241 Rank 14, 95% confidence interval: ±3.23, 152,220 ratings	1,136.586 Rank 38, 95% confidence interval: ±2.94, 201,108 ratings	LMArenaRetrieved 2026-09-19
LMArena Text to Image: Photorealism	Higher score1,259.845 Rank 12, 95% confidence interval: ±4.58, 64,470 ratings	1,128.939 Rank 43, 95% confidence interval: ±4.28, 81,875 ratings	LMArenaRetrieved 2026-09-19
LMArena Text to Image: Portraits	Higher score1,256.799 Rank 14, 95% confidence interval: ±5.56, 34,276 ratings	1,123.606 Rank 47, 95% confidence interval: ±5.18, 44,669 ratings	LMArenaRetrieved 2026-09-19
LMArena Text to Image: Text rendering	Higher score1,269.94 Rank 13, 95% confidence interval: ±4.95, 50,538 ratings	1,148.597 Rank 33, 95% confidence interval: ±4.4, 71,703 ratings	LMArenaRetrieved 2026-09-19
Key to the marks:better valuebetter, but not conclusivetie

Visual comparison

Sample images

Our images complement preference data, but do not replace it. The prompt, request count, and selection rule match. Provider resolution, quality tier, randomness, and prompt processing remain visible limitations, so this is not a fully controlled laboratory test.

Largely standardized comparison protocol. Both models receive the same archived prompt, exactly one request, and the first result counts. Files are normalized to 1,024 × 1,024 pixels without cropping. Provider resolution, randomness, quality tier, and prompt processing can still differ. These images are a practical visual test, not a reconstruction of the arena configuration.

Character and detail

Anatomy, clothing, and spatial consistency

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.

Nano Banana Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID google/gemini-3-pro-image, generated Aug 14, 2026, 12:20 PM. Source
Wan 2.6 Text to Image. Provider Together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, model ID Wan-AI/Wan2.6-image, generated Aug 14, 2026, 12:30 PM. Source

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

Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Nano Banana Pro, image SHA 256: eed53dcc080d2710e6e890382f6273382a12e2c5b079b8813962bff0c92b5df7

Nano Banana Pro, request SHA 256: 12c91e972a7256b1386b22420c0c84e30b85ac6e07830eea944755e5bd9742fc

Wan 2.6 Text to Image, image SHA 256: cf49d7136a442f4f1c1ae29af99e917aa83bcbf501fdacfe3a13a3b3e74d7f9a

Wan 2.6 Text to Image, request SHA 256: 10c9f29d46b749448e574d11b560a2c20065d9026f1f52a99f09b23b6299c9c5

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.

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

Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

Nano Banana Pro, image SHA 256: 4ff7d3965d18e197f00647c35d6aed5a86a376c92779ee9e748c598aebafa51d

Nano Banana Pro, request SHA 256: a69a5193f107aac4f7532f021fc4306c0907470f40f984d0b263728e292d8f1b

Wan 2.6 Text to Image, image SHA 256: 28eecbf460194ec047237c35415d934929baee9de9938bdff435cd21a4416435

Wan 2.6 Text to Image, request SHA 256: d9e00f8c778897df69e719c5bf9fa73115d87abeb23d63eec50dc2280f0e29a9

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.

Nano Banana Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID google/gemini-3-pro-image, generated Aug 14, 2026, 12:19 PM. Source
Wan 2.6 Text to Image. Provider Together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, model ID Wan-AI/Wan2.6-image, generated Aug 14, 2026, 12:29 PM. Source

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

Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Nano Banana Pro, image SHA 256: d50770f426cac7920c9ffdaf210db2f11cdc51a8cf0b7ef52e6cd26850b1de70

Nano Banana Pro, request SHA 256: 92d73f9638fa47ea30f0ceefdeb5eb2ca7d4a018b4b4835463bd0ea29d0495cf

Wan 2.6 Text to Image, image SHA 256: e8dbcfd0ce965814d72d676eddf74f723d476c1f78c5928c7b6efbc4eca4765e

Wan 2.6 Text to Image, request SHA 256: d1539f1db265e5a110b20b8585984ef534d0b89f51e83fd0fc51551832b669d1

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.

Nano Banana Pro. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID google/gemini-3-pro-image, generated Aug 14, 2026, 2:00 PM. Source
Wan 2.6 Text to Image. Provider Together, requested 1280x1280, stored 1024x1024 (Lanczos3 downscale), n=1, seed=provider random, provider default steps, model ID Wan-AI/Wan2.6-image, generated Aug 14, 2026, 2:01 PM. Source

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

Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

Nano Banana Pro, image SHA 256: fc173de00b0df04772321167cfeabb55418d3d016081e7ebfb589c69a629b712

Nano Banana Pro, request SHA 256: d686c572b086aa9f5d019886e8182c8f41c5d35bfb43bc6b6937feccba8a73eb

Wan 2.6 Text to Image, image SHA 256: 7e9557478ee297369d7680b31ab3b23a13c984981c0e0c922ef07372999122a7

Wan 2.6 Text to Image, request SHA 256: 2018571c876690a189c5076c520f09d03dd75a18ad6c52550cd51f854c30aa9d

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 Nano Banana Pro and Wan 2.6 Text to Image with other important image models under the same evidence rules. Each page shows only exact shared measurements and samples.

View the complete image model comparison

Nano Banana Pro vs. Wan 2.6 Text to Image

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