Command Medium vs StableLM 3B
Comprehensive side-by-side comparison of pricing, performance benchmarks, and capabilities
At a Glance
Best Overall Performance
Command Medium
Higher overall benchmarks
Best for Coding
Command Medium
82% coding score
Best for Reasoning
Command Medium
82.5% reasoning score
Best MMLU Score
Command Medium
83% general knowledge
Compare Different Models
Detailed Comparison
| Feature | Command Medium | StableLM 3B | Winner |
|---|---|---|---|
| Provider | Cohere | Stability AI | — |
| Context Window | 64k | 8k | — |
|
MMLU Score
General knowledge & reasoning | 83% | 75% | Command Medium |
|
Coding Score
Code generation & debugging | 82% | 72% | Command Medium |
|
Reasoning Score
Logic & problem-solving | 82.5% | 74% | Command Medium |
| Release Date | 2025 | 2023 | — |
| Function Calling | ✓ Yes | ✓ Yes | — |
Performance Comparison
MMLU (General Knowledge)
Difference: 8.0%Coding Performance
Difference: 10.0%Reasoning & Logic
Difference: 8.5%Expert Analysis
Performance Analysis
Command Medium achieves superior scores across 3 of 3 key benchmarks, including coding (82%), demonstrating stronger general capabilities.
Final Verdict
Our comprehensive recommendation based on all factors
Command Medium demonstrates superior coding capabilities with a 10.0-point advantage, making it the stronger choice for software development tasks. Enterprise teams requiring maximum accuracy should invest in Command Medium for demanding workloads and complex tasks.
Our Recommendation
Enterprise teams and applications requiring maximum accuracy should choose Command Medium for mission-critical deployments where performance is paramount.
Best For These Use Cases
Command Medium Excels At:
- Enterprise chat assistants
- Knowledge retrieval
- Document summarization
- Customer support AI
- Internal research assistance
StableLM 3B Excels At:
- Creative content generation
- Research assistants
- Self-hosted experimentation
- Lightweight chatbots
- Prototype testing
Strengths & Weaknesses
Command Medium
Strengths
- • RAG integration
- • Lightweight deployment
- • Good reasoning
- • Enterprise ready
Considerations
- • Not multimodal
- • Moderate context
- • Closed-source
- • Smaller community
StableLM 3B
Strengths
- • Open weights
- • Easy fine-tuning
- • Good creative outputs
- • Community-driven
Considerations
- • Short context
- • Limited multimodal support
- • Moderate reasoning
- • Fewer enterprise tools
Frequently Asked Questions
Which is better: Command Medium or StableLM 3B?
Command Medium 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?
Command Medium leads in overall performance with higher benchmark scores, while StableLM 3B 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?
Command Medium leads in coding performance with a score of 82%, making it 10.0 percentage points ahead of StableLM 3B. This makes Command Medium 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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