LLaMA 4
Meta’s latest open-weight model for research, with larger size, longer context, and multimodal capabilities.
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: 84.8% - Very good performance, suitable for most tasks
About LLaMA 4
Meta’s latest open-weight model for research, with larger size, longer context, and multimodal capabilities.
LLaMA 4 is designed for research, self-hosted ai, experimental agents, making it an ideal choice for developers and businesses looking for cost-effective AI capabilities. With a context window of 128k, it can handle large documents and extended conversations.
Priced at $0.00 per million tokens, LLaMA 4 offers exceptional value for high-volume applications. It's particularly well-suited for self-hosted agents, research experiments, custom ai assistants.
Key Strengths
- Open weights
- High reasoning for size
- Multimodal support
- Community-driven
- Fine-tuning flexibility
Limitations to Consider
- Shorter context vs GPT-5
- Resource-intensive
- Moderate hallucination rate
- Limited enterprise support
- Requires self-hosting
Ideal Use Cases
LLaMA 4 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
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DeepMindFrequently Asked Questions
What is LLaMA 4 best used for?
LLaMA 4 is specifically optimized for research, self-hosted ai, experimental agents. It excels in self-hosted agents, research experiments, custom ai assistants, making it ideal for both individuals and enterprises looking for reliable AI capabilities in these areas.
How much does LLaMA 4 cost?
LLaMA 4 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 LLaMA 4 compare to GPT-4?
LLaMA 4 provides solid performance with a coding score of 84% and reasoning score of 85.5%. 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?
LLaMA 4 has a 128k context window, which enables handling of large documents and extended conversations - approximately 96,000 words or 300+ pages.
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