StableLM 14B
Larger open-weight StableLM model optimized for reasoning and foundation tasks across domains.
Performance Benchmarks
MMLU (General Knowledge)
Measures broad knowledge across 57 subjects
Coding Performance
Code generation, debugging, and understanding
Reasoning & Logic
Complex problem-solving and analytical thinking
Overall Score: 84.6% - Very good performance, suitable for most tasks
About StableLM 14B
Larger open-weight StableLM model optimized for reasoning and foundation tasks across domains.
StableLM 14B is designed for open research, fine-tuning, creative generation, making it an ideal choice for developers and businesses looking for cost-effective AI capabilities. With a context window of 64k, it can handle standard conversations and documents.
Priced at $0.00 per million tokens, StableLM 14B offers exceptional value for high-volume applications. It's particularly well-suited for open research, self-hosted assistants, content generation.
Key Strengths
- Open weights
- Good reasoning for size
- Strong community ecosystem
- Creative output quality
- Fine-tuning flexibility
Limitations to Consider
- Moderate vs top hyperscaler models
- Moderate hallucination control
- Requires tuning for enterprise safety
- Less multimodal tooling
- Documentation evolving
Ideal Use Cases
StableLM 14B excels in the following applications and scenarios:
Pricing & Cost Analysis
Extremely affordable for high-volume applications
💡 Cost Tip: For applications processing over 1 billion tokens monthly, consider this model offers excellent value at scale.
Quick Stats
Top Competitors
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DeepMindFrequently Asked Questions
What is StableLM 14B best used for?
StableLM 14B is specifically optimized for open research, fine-tuning, creative generation. It excels in open research, self-hosted assistants, content generation, making it ideal for both individuals and enterprises looking for reliable AI capabilities in these areas.
How much does StableLM 14B cost?
StableLM 14B is priced at $0.00 per million tokens. For typical usage of 10 million tokens per month (approximately 300,000 words), this translates to $0.00 monthly. This makes it one of the more affordable options in its category.
How does StableLM 14B compare to GPT-4?
StableLM 14B provides solid performance with a coding score of 84% and reasoning score of 84.8%. At $0.00 per million tokens, it's more cost-effective than GPT-4 Turbo's $10.00 pricing. See detailed comparison →
What is the context window size?
StableLM 14B has a 64k context window, which is suitable for standard conversations and documents.
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