Falcon 400B
Massive open model at 400B parameters for large-scale reasoning and research infrastructure deployments.
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: 89.7% - Excellent performance, top-tier model
About Falcon 400B
Massive open model at 400B parameters for large-scale reasoning and research infrastructure deployments.
Falcon 400B is designed for research, large-scale agents, foundation model experiments, 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, Falcon 400B offers exceptional value for high-volume applications. It's particularly well-suited for large research assistants, foundation for custom ai stacks, instruction-tuned agents.
Key Strengths
- Huge model capacity
- Strong open research benchmarks
- Support for instruction variants
- Large-scale agent foundation
- Community adoption
Limitations to Consider
- Extremely high infra costs
- Complex self-hosting
- Safety tools community-managed
- Deployment custom tooling needed
- Not turnkey
Ideal Use Cases
Falcon 400B 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
Frequently Asked Questions
What is Falcon 400B best used for?
Falcon 400B is specifically optimized for research, large-scale agents, foundation model experiments. It excels in large research assistants, foundation for custom ai stacks, instruction-tuned agents, making it ideal for both individuals and enterprises looking for reliable AI capabilities in these areas.
How much does Falcon 400B cost?
Falcon 400B 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 Falcon 400B compare to GPT-4?
Falcon 400B offers competitive or superior performance with a coding score of 89.5% and reasoning score of 89.7%. 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?
Falcon 400B 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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