StableLM 3B Multimodal vs HorizonAI
Comprehensive side-by-side comparison of pricing, performance benchmarks, and capabilities
At a Glance
Best Overall Performance
HorizonAI
Higher overall benchmarks
Best for Coding
HorizonAI
81% coding score
Best for Reasoning
HorizonAI
81.5% reasoning score
Best MMLU Score
HorizonAI
82% general knowledge
Compare Different Models
Detailed Comparison
| Feature | StableLM 3B Multimodal | HorizonAI | Winner |
|---|---|---|---|
| Provider | Stability AI | Foxconn AI Labs | — |
| Context Window | 16k | 128k | — |
|
MMLU Score
General knowledge & reasoning | 76% | 82% | HorizonAI |
|
Coding Score
Code generation & debugging | 74% | 81% | HorizonAI |
|
Reasoning Score
Logic & problem-solving | 75% | 81.5% | HorizonAI |
| Release Date | 2025 | 2026 | — |
| Vision Support | ✓ Yes | ✓ Yes | — |
| Function Calling | ✓ Yes | ✓ Yes | — |
Performance Comparison
MMLU (General Knowledge)
Difference: 6.0%Coding Performance
Difference: 7.0%Reasoning & Logic
Difference: 6.5%Expert Analysis
Performance Analysis
HorizonAI outperforms across 3 of 3 benchmarks, with particularly strong coding abilities (81%).
Final Verdict
Our comprehensive recommendation based on all factors
HorizonAI excels in coding benchmarks, outperforming StableLM 3B Multimodal by 7.0 points—ideal for developers seeking top-tier code generation. Organizations with demanding workloads will benefit from HorizonAI's capabilities for routine and specialized tasks.
Our Recommendation
Enterprise teams and applications requiring maximum accuracy should choose HorizonAI 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
HorizonAI Excels At:
- Smart manufacturing assistants
- Robotics control reasoning
- Supply-chain data analysis
- Industrial automation AI
- Sensor multimodal processing
Strengths & Weaknesses
StableLM 3B Multimodal
Strengths
- • Open weights
- • Multimodal support
- • Lightweight
- • Creative generation
Considerations
- • Limited context
- • Moderate reasoning
- • Smaller model
- • Not enterprise-ready
HorizonAI
Strengths
- • Industrial-oriented reasoning
- • Integration with robotics workflows
- • Supply-chain optimization reasoning
- • Multimodal sensor fusion
Considerations
- • Niche focus (industrial)
- • Documentation limited
- • Benchmark visibility limited
- • Enterprise integration custom
Frequently Asked Questions
Which is better: StableLM 3B Multimodal or HorizonAI?
HorizonAI 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?
HorizonAI leads in overall performance with higher benchmark scores, while StableLM 3B Multimodal 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?
HorizonAI leads in coding performance with a score of 81%, making it 7.0 percentage points better than StableLM 3B Multimodal. This makes HorizonAI 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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