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Head-to-head comparison

GPT Image 2 vs. HunyuanImage 3.0 Instruct

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
7
shared sample prompts
4
latest arena retrieval
2026-08-26

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 GPT Image 2 and HunyuanImage 3.0 Instruct
AttributeGPT Image 2HunyuanImage 3.0 Instruct
ProviderOpenAITencent
ReleasedApril 2026January 2026
AccessAPI, Web appAPI, local
LifecycleNo separate lifecycle noticeNo separate lifecycle notice
WeightsProprietaryOpen weights
ParametersNot published80 billion, 13 billion active
Maximum output4KNot consistently published
Arena configurationHighFal
Text-to-image price$211 per 1,000 images$90 per 1,000 images
Editing price$211 per 1,000 images$90 per 1,000 images
Technical sourceModel sourceVerified 2026-08-15Model sourceVerified 2026-08-15
GPT Image 2HunyuanImage 3.0 Instruct
Text to Image ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
GPT Image 2$211
HunyuanImage 3.0 InstructLower price$90
Image Editing ArenaUSD per 1,000 images at 1,024 × 1,024 pixels
GPT Image 2$211
HunyuanImage 3.0 InstructLower price$90

Key to the marks:better valuebetter, but not conclusivetie

Prompt adherence and specialist tests

Shared capability benchmarks

Every matchup includes the same four Gradually sample tasks. For each task, one archived first output from every model is ranked in three differently ordered, model-blind passes. The published 0-100 value normalizes the mean rank. It must still be read as an n = 1 sample per model. No exact shared result from the integrated research benchmarks is available for this pair.

GPT Image 2HunyuanImage 3.0 Instruct
Gradually sample test: Typography and layoutMean of three blind ranks across all 28 first outputs, n = 1 each
GPT Image 235.8 / 100
HunyuanImage 3.0 InstructHigher blind-rank score76.6 / 100
Gradually sample test: Product photographyMean of three blind ranks across all 28 first outputs, n = 1 each
GPT Image 2Higher blind-rank score95.1 / 100
HunyuanImage 3.0 Instruct76.6 / 100
Gradually sample test: Character and detailMean of three blind ranks across all 28 first outputs, n = 1 each
GPT Image 2Higher blind-rank score76.6 / 100
HunyuanImage 3.0 Instruct56.8 / 100
Gradually sample test: InfographicMean of three blind ranks across all 28 first outputs, n = 1 each
GPT Image 2Higher blind-rank score76.6 / 100
HunyuanImage 3.0 Instruct32.1 / 100

Key to the marks:better valuebetter, but not conclusivetie

Capability benchmark scores for GPT Image 2 and HunyuanImage 3.0 Instruct
BenchmarkGPT Image 2HunyuanImage 3.0 Instruct
Gradually sample test: Typography and layout
35.8 / 100
Mean rank: 18.33 (22 / 11 / 22)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1 / 2
Layout: 1.33 / 2
Higher blind-rank score76.6 / 100
Mean rank: 7.33 (9 / 8 / 5)
Five rubric scores
Headline: 1.67 / 2
Subline: 1.67 / 2
Text control: 1.67 / 2
Visual brief: 1.33 / 2
Layout: 1.33 / 2
Gradually sample test: Product photography
Higher blind-rank score95.1 / 100
Mean rank: 2.33 (3 / 3 / 1)
Five rubric scores
Subject: 1.33 / 2
Time: 1.33 / 2
Watch details: 1.33 / 2
Photography: 1.33 / 2
Exclusions: 1.33 / 2
76.6 / 100
Mean rank: 7.33 (5 / 14 / 3)
Five rubric scores
Subject: 1.33 / 2
Time: 1.33 / 2
Watch details: 1.33 / 2
Photography: 1.33 / 2
Exclusions: 1.33 / 2
Gradually sample test: Character and detail
Higher blind-rank score76.6 / 100
Mean rank: 7.33 (12 / 9 / 1)
Five rubric scores
Scene: 1.33 / 2
Wardrobe: 1.33 / 2
Anatomy: 1.33 / 2
Props: 1 / 2
Environment: 1 / 2
56.8 / 100
Mean rank: 12.67 (9 / 12 / 17)
Five rubric scores
Scene: 1.33 / 2
Wardrobe: 1.33 / 2
Anatomy: 1.33 / 2
Props: 1 / 2
Environment: 1.33 / 2
Gradually sample test: Infographic
Higher blind-rank score76.6 / 100
Mean rank: 7.33 (10 / 5 / 7)
Five rubric scores
Title: 1.67 / 2
Sequence: 1.67 / 2
Labels: 1.67 / 2
Diagram: 1.33 / 2
Clarity: 1.67 / 2
32.1 / 100
Mean rank: 19.33 (18 / 21 / 19)
Five rubric scores
Title: 1 / 2
Sequence: 1.67 / 2
Labels: 1.67 / 2
Diagram: 1 / 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.

3 shared result series
GPT Image 2HunyuanImage 3.0 Instruct
Text to Image ArenaBlind preference from the same prompt, higher is better
GPT Image 2Higher score1,371 Elo
HunyuanImage 3.0 Instruct1,150 Elo
Image Editing ArenaBlind preference from the same prompt, higher is better
GPT Image 2Higher score1,257 Elo
HunyuanImage 3.0 Instruct1,223 Elo
LMArena Image Editing: OverallBlind preference from the same prompt, higher is better
GPT Image 2Higher score1,462.796
HunyuanImage 3.0 Instruct1,302.51

Key to the marks:better valuebetter, but not conclusivetie

Arena benchmark scores for GPT Image 2 and HunyuanImage 3.0 Instruct
BenchmarkGPT Image 2HunyuanImage 3.0 InstructSource
Text to Image Arena
Higher score1,371 Elo
Rank 1, 95% confidence interval: ±10, 14,328 ratings
1,150 Elo
Rank 64, 95% confidence interval: ±10, 4,338 ratings
Artificial AnalysisRetrieved 2026-08-26
Image Editing Arena
Higher score1,257 Elo
Rank 5, 95% confidence interval: ±6, 18,356 ratings
1,223 Elo
Rank 13, 95% confidence interval: ±7, 8,962 ratings
Artificial AnalysisRetrieved 2026-08-26
LMArena Image Editing: Overall
Higher score1,462.796
Rank 1, 95% confidence interval: ±3.69, 199,275 ratings
1,302.51
Rank 20, 95% confidence interval: ±3.38, 307,816 ratings
LMArenaRetrieved 2026-08-26

Key to the marks:better valuebetter, but not conclusivetie

Visual comparison

Sample images

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

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

Character and detail

Anatomy, clothing, and spatial consistency

HunyuanImage 3.0 Instruct, Character and detail
GPT Image 2, Character and detail
GPT Image 2
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.

GPT Image 2. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-2, generated Aug 14, 2026, 12:13 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

GPT Image 2, image SHA 256: 82f6e2369ab4fb6efb0ef48feeff0d14f1d6087c64c35113a983456f0f0879ac

GPT Image 2, request SHA 256: db4ca97dc43effd578430b77f8ca559c7dd5cbe60e663ba9ecc2e89a33480b0d

HunyuanImage 3.0 Instruct, image SHA 256: 7c813735994e5781c420b23e15898e1d4c8b9a83b24dae9c72e9d7b08fe7ceb4

HunyuanImage 3.0 Instruct, request SHA 256: 7db014c7ede1aa8032b454dd7d23feb8f0b110808d7a8995275bd91a1e6f926c

Infographic

Numbers, labels, and visual organization

HunyuanImage 3.0 Instruct, Infographic
GPT Image 2, Infographic
GPT Image 2
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.

GPT Image 2. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-2, generated Aug 14, 2026, 12:14 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

GPT Image 2, image SHA 256: 6c15466e258e2b14a8e862959cb6a67b4f7a23896ea5d42c5a5618d848847711

GPT Image 2, request SHA 256: ed741d3d120188b9286d3576e7dcd3ace9dd7792978d4d5426022f32ed7ca381

HunyuanImage 3.0 Instruct, image SHA 256: a9c50516fcbe8008d3d67c0651882f7c712aff66ee244b7f8aa7b83c0a67aaab

HunyuanImage 3.0 Instruct, request SHA 256: 7b664cdf0c6f4165d17100e80067cb9d1c950d20b262cf78d2e5c0703da84c5c

Product photography

Materials, reflections, and fine details

HunyuanImage 3.0 Instruct, Product photography
GPT Image 2, Product photography
GPT Image 2
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.

GPT Image 2. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-2, generated Aug 14, 2026, 12:13 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

GPT Image 2, image SHA 256: 471c71b30618afb1a8a67ab8363308d67f99c65ef6740ca72417806d06d3c346

GPT Image 2, request SHA 256: 7b27ff2c9b64529a36bebf2d572c3448f26e68f3e9d1ac6a3f2b5ead8698f60f

HunyuanImage 3.0 Instruct, image SHA 256: 89ed8da585fcce3df9f76584dfc426a5142fe3b950c79a306a7ce3b79746ed99

HunyuanImage 3.0 Instruct, request SHA 256: 23b9a3151ee407a3387ae153fd37ebf415ce89861e8ad212ca150c4f1fcd386e

Typography and layout

Legible text, hierarchy, and composition

HunyuanImage 3.0 Instruct, Typography and layout
GPT Image 2, Typography and layout
GPT Image 2
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.

GPT Image 2. Provider Together, 1024x1024, n=1, seed=provider random, provider default steps, model ID openai/gpt-image-2, generated Aug 14, 2026, 1:59 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

GPT Image 2, image SHA 256: 434cf9939b9be2a2c2711e13d027c9438c47038bb32229ceeaf405d2e89d2afc

GPT Image 2, request SHA 256: 473a774dfe9f9b7bb597e9e8b63af4e770b6bc4e7f8bc90682636db3516e7353

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.

More matchups

Compare GPT Image 2 and HunyuanImage 3.0 Instruct with other important image models using the same benchmark and sample methodology.

View the complete image model comparison