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Head-to-head comparison

Wan 2.6 Text to Image vs. HunyuanImage 3.0 Instruct

Compare arena scores with documented retrieval dates, task-specific image pricing, and verified specifications. Text-to-image generation and image editing are never blended into an artificial overall score.

1

shared result series

4

shared sample prompts

2026-08-15

latest arena retrieval

Change image model selection

Specifications and cost

General specifications and task-specific pricing

A model can have one price for generating new images and another for editing. Prices therefore remain tied to the corresponding arena configuration.

Specifications and pricing for Wan 2.6 Text to Image and HunyuanImage 3.0 Instruct
AttributeWan 2.6 Text to ImageHunyuanImage 3.0 Instruct
ProviderAlibabaTencent
ReleasedJanuary 2026January 2026
AccessAPIAPI, local
LifecycleNo separate lifecycle noticeNo separate lifecycle notice
WeightsProprietaryOpen weights
ParametersNot published80 billion, 13 billion active
Maximum output2KNot consistently published
Arena configurationText to ImageFal
Text-to-image price$30 per 1,000 images$90 per 1,000 images
Editing priceNo arena entry$90 per 1,000 images
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-08-15
Wan 2.6 Text to ImageHunyuanImage 3.0 Instruct
Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
Wan 2.6 Text to Image$30Lower price
HunyuanImage 3.0 Instruct$90

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.

1 shared result series
Wan 2.6 Text to ImageHunyuanImage 3.0 Instruct
Text to Image ArenaBlind preference from the same prompt, higher is better
Wan 2.6 Text to Image1,212 EloHigher arena score
HunyuanImage 3.0 Instruct1,154 Elo
Arena benchmark scores for Wan 2.6 Text to Image and HunyuanImage 3.0 Instruct
BenchmarkWan 2.6 Text to ImageHunyuanImage 3.0 InstructSource
Text to Image Arena
1,212 EloHigher arena score
Rank 25, 95% confidence interval: ±10, 3,702 ratings
1,154 Elo
Rank 57, 95% confidence interval: ±10, 3,845 ratings
Artificial AnalysisRetrieved 2026-08-15

Visual comparison

Sample images from documented runs

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

Wan 2.6 Text to Image, Character and detail
Wan 2.6 Text to Image
HunyuanImage 3.0 Instruct, Character and detail
HunyuanImage 3.0 Instruct
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.

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
HunyuanImage 3.0 Instruct. Provider fal.ai, requested 1024x1024, n=1, seed=480451513, prompt expansion disabled, estimated cost $0.094372, model ID fal-ai/hunyuan-image/v3/instruct/text-to-image, generated Aug 14, 2026, 1:51 PM. Source

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

Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6

Wan 2.6 Text to Image, image SHA 256: cf49d7136a442f4f1c1ae29af99e917aa83bcbf501fdacfe3a13a3b3e74d7f9a

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

HunyuanImage 3.0 Instruct, image SHA 256: 7c813735994e5781c420b23e15898e1d4c8b9a83b24dae9c72e9d7b08fe7ceb4

HunyuanImage 3.0 Instruct, request SHA 256: 7db014c7ede1aa8032b454dd7d23feb8f0b110808d7a8995275bd91a1e6f926c

Infographic

Numbers, labels, and visual organization

Wan 2.6 Text to Image, Infographic
Wan 2.6 Text to Image
HunyuanImage 3.0 Instruct, Infographic
HunyuanImage 3.0 Instruct
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.

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
HunyuanImage 3.0 Instruct. Provider fal.ai, requested 1024x1024, n=1, seed=1316714523, prompt expansion disabled, estimated cost $0.094372, model ID fal-ai/hunyuan-image/v3/instruct/text-to-image, generated Aug 14, 2026, 1:52 PM. Source

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

Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f

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

Wan 2.6 Text to Image, request SHA 256: d9e00f8c778897df69e719c5bf9fa73115d87abeb23d63eec50dc2280f0e29a9

HunyuanImage 3.0 Instruct, image SHA 256: a9c50516fcbe8008d3d67c0651882f7c712aff66ee244b7f8aa7b83c0a67aaab

HunyuanImage 3.0 Instruct, request SHA 256: 7b664cdf0c6f4165d17100e80067cb9d1c950d20b262cf78d2e5c0703da84c5c

Product photography

Materials, reflections, and fine details

Wan 2.6 Text to Image, Product photography
Wan 2.6 Text to Image
HunyuanImage 3.0 Instruct, Product photography
HunyuanImage 3.0 Instruct
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.

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
HunyuanImage 3.0 Instruct. Provider fal.ai, requested 1024x1024, n=1, seed=1892985637, prompt expansion disabled, estimated cost $0.094372, model ID fal-ai/hunyuan-image/v3/instruct/text-to-image, generated Aug 14, 2026, 1:51 PM. Source

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

Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3

Wan 2.6 Text to Image, image SHA 256: e8dbcfd0ce965814d72d676eddf74f723d476c1f78c5928c7b6efbc4eca4765e

Wan 2.6 Text to Image, request SHA 256: d1539f1db265e5a110b20b8585984ef534d0b89f51e83fd0fc51551832b669d1

HunyuanImage 3.0 Instruct, image SHA 256: 89ed8da585fcce3df9f76584dfc426a5142fe3b950c79a306a7ce3b79746ed99

HunyuanImage 3.0 Instruct, request SHA 256: 23b9a3151ee407a3387ae153fd37ebf415ce89861e8ad212ca150c4f1fcd386e

Typography and layout

Legible text, hierarchy, and composition

Wan 2.6 Text to Image, Typography and layout
Wan 2.6 Text to Image
HunyuanImage 3.0 Instruct, Typography and layout
HunyuanImage 3.0 Instruct
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.

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
HunyuanImage 3.0 Instruct. Provider fal.ai, requested 1024x1024, n=1, seed=1326433162, prompt expansion disabled, estimated cost $0.094372, model ID fal-ai/hunyuan-image/v3/instruct/text-to-image, generated Aug 14, 2026, 2:41 PM. Source

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

Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419

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

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

HunyuanImage 3.0 Instruct, image SHA 256: 4563cdd9bb047b4df3316484fcc4fe369ba6635f0360e434f45577d013468b6c

HunyuanImage 3.0 Instruct, request SHA 256: efd3bc5cb7cf1e1511bde27609704b11aa672e608c34b4ecd16fb998f45385f3

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.