StableLM 3B Multimodal vs Stable Diffusion XL

Comprehensive side-by-side comparison of pricing, performance benchmarks, and capabilities

At a Glance

Best Overall Performance

StableLM 3B Multimodal

Higher overall benchmarks

Best for Coding

StableLM 3B Multimodal

74% coding score

Best for Reasoning

StableLM 3B Multimodal

75% reasoning score

Best MMLU Score

StableLM 3B Multimodal

76% general knowledge

Compare Different Models

Detailed Comparison

Feature StableLM 3B Multimodal Stable Diffusion XL Winner
Provider Stability AI Stability AI
Context Window 16k n/a
MMLU Score

General knowledge & reasoning

76% 0% StableLM 3B Multimodal
Coding Score

Code generation & debugging

74% 0% StableLM 3B Multimodal
Reasoning Score

Logic & problem-solving

75% 0% StableLM 3B Multimodal
Release Date 2025 2023
Vision Support ✓ Yes ✓ Yes
Function Calling ✓ Yes

Performance Comparison

MMLU (General Knowledge)

Difference: 76.0%
StableLM 3B Multimodal 76%
Stable Diffusion XL 0%

Coding Performance

Difference: 74.0%
StableLM 3B Multimodal 74%
Stable Diffusion XL 0%

Reasoning & Logic

Difference: 75.0%
StableLM 3B Multimodal 75%
Stable Diffusion XL 0%

Expert Analysis

Performance Analysis

StableLM 3B Multimodal achieves superior scores across 3 of 3 key benchmarks, including coding (74%), demonstrating stronger general capabilities.

Final Verdict

Our comprehensive recommendation based on all factors

StableLM 3B Multimodal demonstrates superior coding capabilities with a 74.0-point advantage, making it the stronger choice for software development tasks. Enterprise teams requiring maximum accuracy should invest in StableLM 3B Multimodal for demanding workloads and complex tasks.

Our Recommendation

Enterprise teams and applications requiring maximum accuracy should choose StableLM 3B Multimodal for mission-critical deployments where performance is paramount.

Best For These Use Cases

StableLM 3B Multimodal Excels At:

  • Multimodal research
  • Prototype AI assistants
  • Creative content
  • Fine-tuning experiments
  • Lightweight agents

Stable Diffusion XL Excels At:

  • Art generation
  • Visual content creation
  • Advertising materials
  • Storyboarding
  • Creative experiments

Strengths & Weaknesses

StableLM 3B Multimodal

Strengths

  • Open weights
  • Multimodal support
  • Lightweight
  • Creative generation

Considerations

  • Limited context
  • Moderate reasoning
  • Smaller model
  • Not enterprise-ready
Full StableLM 3B Multimodal Review →

Stable Diffusion XL

Strengths

  • Open weights
  • High-quality image generation
  • Multimodal pipelines
  • Creative flexibility

Considerations

  • No textual reasoning
  • No coding abilities
  • Limited enterprise support
  • Compute-intensive
Full Stable Diffusion XL Review →

Frequently Asked Questions

Which is better: StableLM 3B Multimodal or Stable Diffusion XL?

StableLM 3B Multimodal offers superior overall performance with higher benchmark scores across MMLU, coding, and reasoning tests. The best choice depends on your specific use case requirements and performance priorities.

What are the key differences?

StableLM 3B Multimodal leads in overall performance with higher benchmark scores, while Stable Diffusion XL may offer advantages in specific areas like context window size or specialized capabilities. Both models have their strengths depending on your particular needs.

Which is better for coding?

StableLM 3B Multimodal leads in coding performance with a score of 74%, making it 74.0 percentage points ahead of Stable Diffusion XL. This makes StableLM 3B Multimodal the superior choice for software development, code generation, and debugging tasks.

Can I use both models together?

Yes! Many organizations use multiple models strategically: one model for routine tasks where efficiency matters, and another for complex, mission-critical applications requiring maximum accuracy. This hybrid approach optimizes both performance and resource utilization across different use cases.

How often are these benchmarks updated?

We update all benchmark scores and pricing data daily to reflect the latest model versions and API pricing changes. Benchmark scores are sourced from official documentation, independent testing platforms like Artificial Analysis, and peer-reviewed academic evaluations. Last updated: 2/2/2026.

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