METRO LM
Meta’s large multimodal model designed for research and social media content understanding.
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: 81.8% - Very good performance, suitable for most tasks
About METRO LM
Meta’s large multimodal model designed for research and social media content understanding.
METRO LM is designed for multimodal ai, research, social media applications, 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, METRO LM offers exceptional value for high-volume applications. It's particularly well-suited for content moderation ai, social media insights, multimodal research.
Key Strengths
- Multimodal understanding
- Research-ready
- Scalable
- Social media AI integration
- Open research contribution
Limitations to Consider
- Moderate reasoning
- Smaller community
- Closed enterprise integrations
- Limited benchmarks
- Compute-intensive
Ideal Use Cases
METRO LM 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 METRO LM best used for?
METRO LM is specifically optimized for multimodal ai, research, social media applications. It excels in content moderation ai, social media insights, multimodal research, making it ideal for both individuals and enterprises looking for reliable AI capabilities in these areas.
How much does METRO LM cost?
METRO LM 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 METRO LM compare to GPT-4?
METRO LM provides solid performance with a coding score of 81% and reasoning score of 82.5%. 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?
METRO LM has a 64k context window, which is suitable for standard conversations and documents.
Ready to Try METRO LM?
Get started today or compare with other models to find the perfect fit for your needs