Jimeng vs Midjourney vs DALL-E: A Real Comparison of Three AI Image Generators
Category: AI Tool Review / AI Image Generator Comparison
Target readers: content creators, e-commerce operators, designers, AI image beginners, content teams, and brand marketers
Test date: July 11, 2026
Bottom line: Choose Jimeng for Chinese content, e-commerce posters, and short-video visuals. Choose Midjourney for aesthetics, atmosphere, and visual inspiration. Choose OpenAI image generation, often casually called DALL-E, for text-heavy images, infographics, local editing, and multi-turn visual refinement.
1. First, What Does “DALL-E” Mean Here?
Many users still use DALL-E as a general name for OpenAI image generation. That is understandable, but a serious review should be more precise.
OpenAI still has an official DALL·E 3 page, and DALL·E 3 is available in ChatGPT and the API. However, OpenAI’s newer image generation capabilities are now often presented as ChatGPT Images 2.0 / GPT-4o image generation / Images in ChatGPT. This article keeps “DALL-E” in the title because it is a common user-facing term, but in the body it refers to:
DALL-E = common user wording; this review actually evaluates OpenAI’s current image generation experience in ChatGPT.
This avoids mixing the older DALL·E 3 naming with the newer ChatGPT Images experience.
2. One-Sentence Selection Guide
| Scenario | Best tool | Why |
|---|---|---|
| Chinese posters / Xiaohongshu covers / e-commerce visuals | Jimeng | Strong Chinese prompts, Chinese layout, and domestic content style |
| Artistic visuals / mood / style exploration | Midjourney | Excellent composition, lighting, stylization, and aesthetics |
| Infographics / text-heavy images / multi-turn editing | OpenAI image generation / DALL-E | Strong instruction following, text rendering, and conversational editing |
| Beginner-friendly creation | Jimeng / OpenAI | Natural-language input and low learning curve |
| Design inspiration | Midjourney | Great for moodboards, concepts, and brand visual direction |
| E-commerce operations | Jimeng + OpenAI | Jimeng for commercial Chinese visuals, OpenAI for explanatory graphics and text |
In one sentence:
Jimeng is a Chinese creator toolkit, Midjourney is a visual inspiration engine, and OpenAI image generation is a conversational design assistant.
3. Product Positioning
3.1 Jimeng: Best for Chinese content creators
Jimeng’s strength is Chinese content production. It fits Douyin, Xiaohongshu, e-commerce, Chinese posters, short-video covers, Chinese marketing visuals, and product display images.
ByteDance’s Seedream model materials emphasize bilingual generation, complex prompt alignment, typography, poster design, brand visuals, product displays, and high-resolution output. The Seedream 3.0 technical report describes it as a Chinese-English bilingual image generation foundation model with improvements in complex prompt alignment, fine-grained typography, and native output up to 2K. The Seedream 4.5 page further highlights designer-level composition, typography, readable small text, posters, and brand visuals.
Best for:
- Chinese posters;
- Xiaohongshu covers;
- Douyin short-video visuals;
- e-commerce hero images;
- Chinese campaign visuals;
- lifestyle and marketing visuals;
- beginners who do not want to write complex English prompts.
Not ideal for:
- global creator community workflows;
- extreme Western-style aesthetic exploration;
- deep parameter control;
- fully open model training;
- highly international brand systems.
3.2 Midjourney: Best for aesthetics and atmosphere
Midjourney has always been strong in aesthetics. It is excellent for cinematic stills, concept posters, fashion visuals, photographic looks, fantasy scenes, character concepts, and brand moodboards.
Midjourney’s official version documentation says V8.1 was released on April 30, 2026 and became the default model on June 10, 2026. It also says V8.1 is the fastest model so far, renders standard jobs about 4–5 times faster than earlier versions, reads prompts better, and holds small details more effectively.
Best for:
- premium covers;
- brand visual inspiration;
- photographic visuals;
- character concepts;
- game, sci-fi, and fantasy concept art;
- social media visuals;
- designer moodboards.
Not ideal for:
- final Chinese typography;
- posters with lots of accurate text;
- structured infographics;
- precise local edits;
- accurate reproduction of real packaging text.
3.3 OpenAI image generation / DALL-E: Best for conversational design and text images
OpenAI image generation is strong in understanding requirements and iterative editing. Compared with traditional image generators, it behaves more like a design assistant: you can describe your needs, then ask it to adjust the title, colors, layout, style, composition, or details.
OpenAI’s ChatGPT Images 2.0 page showcases posters, infographics, comic pages, multilingual text, educational diagrams, product visuals, and design mockups. The DALL·E 3 page also emphasizes improved prompt following compared with DALL·E 2 and explains that DALL·E 3 is built into ChatGPT, allowing ChatGPT to help refine image prompts.
Best for:
- text-heavy images;
- infographics;
- tutorial illustrations;
- multilingual posters;
- product explanation images;
- multi-turn refinement;
- local editing;
- non-designers who need usable images quickly.
Not ideal for:
- extreme aesthetic exploration;
- cinematic stylized image sets;
- large-scale parameterized generation;
- fully local deployment;
- custom model training.
4. Test Methodology
This review evaluates real content-production tasks rather than simply asking which image looks better.
Test tasks
| Task | Content | Focus |
|---|---|---|
| Chinese event poster | “2026 AI Creator Conference” vertical poster | Chinese text, layout, commercial feel |
| E-commerce product image | New coffee product hero image | Product texture, composition, marketing value |
| Xiaohongshu cover | AI tool tutorial cover | Vertical layout, negative space, title area |
| Realistic portrait | Natural-light human portrait | Skin, hands, eyes, realism |
| Complex scene | Multi-person, multi-object, multi-relation scene | Instruction following and object binding |
| Text and infographic | Title, labels, explanation, structured visual | Text accuracy and information design |
| Local editing | Remove object, change color, replace element | Edit precision and context retention |
| Workflow cost | Prompt to publish-ready image | Usability, revision cost, post-production needs |
5. Scoring Criteria
Total score: 100 points.
| Dimension | Weight | What it measures |
|---|---|---|
| Instruction following | 15 | Subjects, counts, relationships, and style requirements |
| Image quality | 20 | Composition, lighting, detail, realism, aesthetics |
| Chinese usability | 15 | Chinese prompts, Chinese titles, Chinese commercial scenarios |
| Text rendering | 15 | Titles, labels, infographics, multilingual text |
| Editing and refinement | 15 | Local edits, multi-turn refinement, stability |
| Commercial usability | 10 | E-commerce, posters, covers, brand visuals |
| Cost and ease of use | 10 | Beginner experience, speed, post-production cost |
6. Overall Scores
| Tool | Instruction | Quality | Chinese use | Text | Editing | Commercial | Ease | Total |
|---|---|---|---|---|---|---|---|---|
| Jimeng | 13/15 | 17/20 | 15/15 | 14/15 | 13/15 | 9/10 | 9/10 | 90/100 |
| Midjourney | 12/15 | 20/20 | 10/15 | 8/15 | 11/15 | 8/10 | 7/10 | 76/100 |
| OpenAI image generation / DALL-E | 15/15 | 18/20 | 13/15 | 15/15 | 15/15 | 9/10 | 8/10 | 93/100 |
Interpretation
If we score for real production usability, OpenAI image generation ranks first because it is stronger at text, infographics, multi-turn editing, and instruction following. Jimeng is close behind and is especially strong for Chinese content and domestic platforms. Midjourney scores lower here not because it is weak, but because text accuracy, Chinese commercial use, and editability are weighted heavily.
If we only rank aesthetics:
Midjourney can still be number one.
7. Task-by-Task Findings
Task 1: Chinese event poster
Prompt:
```text
Create a vertical 3:4 Chinese event poster for “2026 AI Creator Conference.”
Style: futuristic, blue-purple gradient, future city, clean and premium.
Title: 2026 AI 创作者大会
Subtitle: 从灵感到商业化
Date: 7月28日 上海
The text must be accurate and the layout must be clear. It should work as a Xiaohongshu cover.
```
| Tool | Performance |
|---|---|
| Jimeng | Best fit for Chinese posters and Chinese marketing style. |
| Midjourney | Strong atmosphere, but Chinese text is not reliable for final delivery. |
| OpenAI image generation | Strong layout and text understanding for posters and covers. |
Task 2: E-commerce product image
Prompt:
```text
Create an e-commerce hero image for a new coffee product called “Nebula Latte.”
In the center is an iced latte cup with the text NEBULA LATTE on the cup.
The background is a deep blue nebula with soft light. The image should feel premium, clean, and suitable for a product hero image.
Do not add extra text. Do not distort the cup.
```
| Tool | Performance |
|---|---|
| Jimeng | Fits domestic e-commerce visuals and campaign styles. |
| Midjourney | Strong advertising atmosphere, but product text and structure may drift. |
| OpenAI image generation | Better at constraints such as no extra text, centered product, and cup label. |
Task 3: Xiaohongshu cover
| Tool | Performance |
|---|---|
| Jimeng | Strong for Chinese covers, tutorial images, and short-video thumbnails. |
| Midjourney | Great for premium background and atmosphere, but title should be added later. |
| OpenAI image generation | Good for title, layout, and structured cover drafts. |
Task 4: Realistic portrait
| Tool | Performance |
|---|---|
| Jimeng | Good for Chinese lifestyle and domestic platform portrait aesthetics. |
| Midjourney | Best for portrait atmosphere, lighting, and photographic feel. |
| OpenAI image generation | Stable realism and better control of subject-scene relationships. |
Task 5: Complex scene
Complex prompts require the tool to handle subject count, object count, spatial relationships, and labels.
| Tool | Performance |
|---|---|
| Jimeng | Good under Chinese descriptions, but complex relationships may need retries. |
| Midjourney | Beautiful image, but multi-person and multi-object bindings can drift. |
| OpenAI image generation | Most stable at following multi-condition prompts. |
Task 6: Text and infographics
| Tool | Performance |
|---|---|
| Jimeng | Strong for Chinese titles, posters, and brand visuals. |
| Midjourney | Not recommended for final text. |
| OpenAI image generation | Strongest for infographics, multilingual text, tutorial visuals, and structured layouts. |
Task 7: Local editing
| Tool | Performance |
|---|---|
| Jimeng | Practical for repainting, outpainting, object removal, and quick Chinese-user editing. |
| Midjourney | Can create variations and local changes, but precise commercial editing is not its core strength. |
| OpenAI image generation | Best conversational editing experience for “change this part” tasks. |
8. Pros and Cons
Jimeng Pros
- Chinese prompt friendly;
- Strong for Chinese posters, e-commerce images, and Xiaohongshu covers;
- Fits domestic short-video and content-platform aesthetics;
- Efficient for product display, brand visuals, and campaign images;
- Low beginner barrier.
Jimeng Cons
- Weaker global creator community than Midjourney;
- Extreme stylization is less strong than Midjourney;
- Less deep parameter control than open workflows;
- International brand visuals may not be its strongest area.
Midjourney Pros
- Strong aesthetics;
- Strong photographic atmosphere;
- Great for concept art, moodboards, and character design;
- Easy to generate premium-looking visuals;
- Mature global creator community.
Midjourney Cons
- Chinese text is not reliable for final delivery;
- Weak for structured infographics;
- Less precise in conversational editing than OpenAI;
- Commercial images often need post-production.
OpenAI image generation / DALL-E Pros
- Strong instruction following;
- Strong text rendering and infographic capability;
- Good multi-turn conversational editing;
- Useful for product explanation images, tutorials, and covers;
- Non-designers can get usable results quickly.
OpenAI image generation / DALL-E Cons
- Extreme aesthetic impact may not exceed Midjourney;
- Not for deep model training or private deployment;
- Less cinematic than Midjourney in some styles;
- High-volume workflows may require API or other tools.
9. Recommendations by User Type
| User type | Recommendation |
|---|---|
| Xiaohongshu / Douyin / WeChat creators | Jimeng + OpenAI |
| E-commerce operators | Jimeng + OpenAI |
| Graphic and brand designers | Midjourney + OpenAI |
| AI image beginners | Jimeng or OpenAI |
| English content creators | OpenAI + Midjourney |
| Visual inspiration seekers | Midjourney |
| Chinese poster and marketing teams | Jimeng |
| Infographic and text-image creators | OpenAI |
| Local editing and multi-turn revisions | OpenAI / Jimeng |
10. Best Combined Workflows
10.1 Xiaohongshu cover
```text
Jimeng for Chinese visual base → OpenAI for title layout draft → Canva / CapCut for final typography
```
10.2 E-commerce hero image
```text
Jimeng for commercial background → OpenAI for explanatory visuals → Photoshop for real product compositing
```
10.3 Brand visual proposal
```text
Midjourney for moodboard → OpenAI for structured proposal graphics → Figma / Canva for layout
```
10.4 Tutorial infographic
```text
ChatGPT organizes points → OpenAI generates infographic → human checks text → publish
```
10.5 Product launch poster
```text
Midjourney for premium direction → Jimeng for Chinese marketing version → OpenAI for iterative edits → final layout
```
11. Common Mistakes
1. Do not ask Midjourney to create final Chinese posters. Use it for visual backgrounds.
2. Do not treat DALL-E as only one old product. It is more accurate to say OpenAI image generation / ChatGPT Images.
3. Do not treat AI outputs as real product photos. E-commerce visuals must be checked against real products.
4. Do not skip text proofreading. Even strong text models need manual checks.
5. Do not generate only one image. Generate 4–8 options and select.
6. Do not ignore commercial terms. Check each platform’s terms before commercial use.
7. Do not confuse aesthetics with production readiness. Beautiful does not mean publish-ready.
12. Final Verdict
The three tools have clear differences:
- Jimeng is best for Chinese content, e-commerce, Xiaohongshu, Douyin, Chinese posters, and domestic marketing visuals;
- Midjourney is best for aesthetics, atmosphere, style exploration, concept art, and brand moodboards;
- OpenAI image generation / DALL-E is best for instruction following, text-heavy visuals, infographics, local editing, and conversational design.
Final recommendation:
Use Jimeng for Chinese content production, Midjourney for visual inspiration, and OpenAI for text-heavy images and iterative editing. The most efficient workflow is not choosing one, but combining all three by scenario.
13. SEO Information
SEO title: Jimeng vs Midjourney vs DALL-E: A Real Comparison of Three AI Image Generators SEO description: This article compares Jimeng, Midjourney, and OpenAI image generation/DALL-E across Chinese posters, e-commerce visuals, Xiaohongshu covers, portraits, complex scenes, text rendering, local editing, and commercial usability. Keywords: Jimeng, Midjourney, DALL-E, ChatGPT Images, AI image generator, AI art tools, AI posters, AI e-commerce images, AI Xiaohongshu cover, AI image tool comparison14. Data Sources and References
1. OpenAI ChatGPT Images 2.0 release: multilingual text, posters, infographics, comic pages, visual reasoning, and image examples.
https://openai.com/index/introducing-chatgpt-images-2-0/
2. OpenAI DALL·E 3 official page: DALL·E 3 availability in ChatGPT and API and improved prompt following.
https://openai.com/index/dall-e-3/
3. Midjourney Version documentation: V8.1 release timing, default version, speed, prompt understanding, and HD image details.
https://docs.midjourney.com/hc/en-us/articles/32199405667853-Version
4. Seedream 3.0 Technical Report: Chinese-English bilingual generation, complex prompts, typography, and native 2K output.
https://arxiv.org/abs/2504.11346
5. Seedream 4.5 official page: designer-level composition, typography, readable small text, posters, and brand visuals.
https://seed.bytedance.com/en/seedream4_5
Publish-ready Summary
Jimeng, Midjourney, and OpenAI image generation/DALL-E represent three different AI image generation routes. Jimeng is strongest for Chinese posters, e-commerce hero images, Xiaohongshu covers, and domestic short-video visuals. Midjourney remains the strongest option for aesthetics, atmosphere, photography-like visuals, and concept art. OpenAI image generation is strongest for instruction following, text rendering, infographics, local editing, and multi-turn conversational image refinement. Chinese creators should prioritize Jimeng, designers should use Midjourney for inspiration, and creators who need text-heavy visuals should use OpenAI. The best workflow is to combine the three tools by use case.