GLM-Image vs Midjourney: Why Text Rendering Matters

In the field of AI image generation, text rendering capability is becoming a decisive factor. With the rapid development of global digital marketing, companies' demand for image generation containing Chinese text has surged. This article will deeply compare the performance of GLM-Image and Midjourney in text rendering, helping you choose the most suitable tool.

Price and Performance Comparison

GLM-Image: King of Cost-Effectiveness

Core Advantages:

• Price Advantage: Only $0.014/image, nearly 60 times cheaper than Midjourney
• Chinese Accuracy: Up to 97.88%, almost perfectly restoring Chinese text
• Chinese Optimization: Specifically trained for the Chinese market with extremely high text clarity
• Batch Generation: Supports large-scale image generation with significant cost benefits

Use Cases:

• Social media marketing posters
• E-commerce product showcase images
• Brand promotional materials
• Education and training content

Midjourney: Art Generation Expert

Core Advantages:

• Artistic Expression: Excellent performance in creative art
• Community Ecosystem: Huge artist community and rich prompt library
• Image Quality: Overall artistic sense and aesthetic performance are excellent

Clear Disadvantages:

• Chinese Accuracy: Only 45%, text often distorted or unrecognizable
• High Cost: $0.83/image, significant budget limitations
• Text Limitations: Limited support for non-English text

Practical Application Scenario Analysis

Social Media Marketing

Requirements:

• Brand posters containing Chinese slogans
• Text is the core element of information transmission
• Need for frequent content updates

GLM-Image Performance:

• Text Clarity: 9.5/10
• Chinese Accuracy: 97.88%
• Generation Speed: 30 seconds/image
• Cost-Effectiveness: $0.014/image

Midjourney Performance:

• Text Clarity: 4.2/10
• Chinese Accuracy: 45%
• Generation Speed: 60 seconds/image
• Cost-Effectiveness: $0.83/image

E-commerce Product Showcase

Core Requirements:

• Product information + price + promotional information
• Text must be accurate
• Need for multiple size adaptations

Comparison Results:

Metric	GLM-Image	Midjourney
Text Accuracy	97.88%	45%
Generation Cost	$0.014	$0.83
Batch Processing	Excellent	Average
Chinese Support	Native	Limited

Technical Deep Analysis

Text Rendering Technology Differences

GLM-Image's Technical Advantages:

1. Chinese Specialization: Deeply trained based on Chinese corpus
2. Glyph Fidelity: Advanced glyph reconstruction algorithms
3. Intelligent Layout: Automatic optimization of text position and size in images
4. Multi-font Support: Supports common Chinese fonts and special fonts

Midjourney's Limitations:

1. West-Centric: Mainly based on English training data
2. Glyph Mapping Issues: Inaccurate Chinese character mapping
3. Text Layout Randomness: Unstable text positioning

Cost-Effectiveness Analysis

Cost Comparison for 100 Marketing Posters:

GLM-Image:

• Direct Cost: $1.40
• Time Cost: 30 minutes (batch processing)
• Overall Efficiency: Excellent

Midjourney:

• Direct Cost: $83.00
• Time Cost: 100 minutes (sequential processing)
• Overall Efficiency: Low

Cost Savings: $81.60, Time Savings: 70 minutes

Target Audience Recommendations

Users Who Should Choose GLM-Image:

✅ Budget-Conscious Businesses: Startups and SMEs ✅ Chinese Content Creators: Marketers needing large amounts of Chinese materials ✅ E-commerce Sellers: Product showcase and promotional poster creation ✅ Educators: Teaching materials and courseware production ✅ Social Media Managers: High-frequency content update needs

Users Who Should Choose Midjourney:

✅ Creative Artists: Pure art creation and concept design ✅ English Content Creators: Creators mainly using English ✅ Well-Funded Companies: Large companies insensitive to costs ✅ Professional Designers: Designers needing advanced artistic effects

Future Development Trends

The Importance of Text Rendering Will Continue to Rise

1. Globalization Needs: As Chinese companies go global, demand for multilingual text grows
2. Localized Marketing: Regional marketing requires local language support
3. Personalized Customization: User demand for personalized text content increases

GLM-Image's Competitive Advantages

1. Cost Advantage: Clear advantage in price-sensitive markets
2. Technical Barrier: High technical threshold for Chinese text rendering
3. Market Positioning: Precisely positioned for the Chinese market to meet specific needs

Practical Recommendations

How to Choose the Right Tool

Budget-Oriented Selection:

• Monthly Budget < $50: Choose GLM-Image
• Monthly Budget > $200: Consider Midjourney
• Budget $50-$200: Hybrid usage strategy

Project-Oriented Selection:

• Text-Intensive Projects: GLM-Image
• Artistic Creative Projects: Midjourney
• Mixed Projects: Allocate budget based on importance

Tips for Improving Generation Results

GLM-Image Optimization Tips:

1. Use detailed Chinese descriptions
2. Specify text size and position
3. Provide font preferences
4. Use professional design terminology

Midjourney Optimization Tips:

1. Use English descriptions for text content
2. Add text through image editing software
3. Consider post-processing workflows

Conclusion

GLM-Image has a overwhelming advantage in Chinese text rendering, especially suitable for Chinese markets and budget-sensitive users. Midjourney maintains its advantage in artistic creation, suitable for English content and creative design projects.

For most Chinese users, GLM-Image is the more cost-effective choice, capable of obtaining high-quality Chinese text rendering effects at extremely low costs. As AI technology continues to develop, text rendering capability will become the core competitiveness of AI image generation tools.

Action Recommendations:

• Try GLM-Image's free quota immediately
• Compare the performance of both tools in your specific scenarios
• Develop a hybrid usage strategy based on budget and needs
• Pay attention to the latest developments in text rendering technology

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This article's data is based on the latest test results as of January 2025. Actual results may vary depending on specific usage scenarios. It is recommended to conduct thorough testing before actual use.