Context
2K
Input
Free (open)
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
2K
📥
Input Price
per 1M tokens
Free (open)
📤
Output Price
per 1M tokens
Free (open)
🧠
Parameters
40B
🔓
Open Source
Yes
Best For
General tasksfine-tuningresearch
About Falcon 40B
Falcon 40B is a 40 billion parameter open-source model from TII that punches well above its weight on language understanding and generation tasks. Released under the Apache 2.0 license, it became one of the most popular open models for fine-tuning and custom deployment, particularly in enterprise environments seeking alternatives to proprietary APIs.
Built byTechnology Innovation Institute↗
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
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Frequently Asked Questions
What is Falcon 40B?▾
Falcon 40B is a 40 billion parameter open-source model from TII that punches well above its weight on language understanding and generation tasks. Released under the Apache 2.0 license, it became one of the most popular open models for fine-tuning and custom deployment, particularly in enterprise environments seeking alternatives to proprietary APIs.
How much does Falcon 40B cost?▾
Falcon 40B costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Falcon 40B's context window?▾
Falcon 40B has a context window of 2K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Falcon 40B open source?▾
Yes, Falcon 40B is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Falcon 40B best for?▾
Falcon 40B is best suited for: General tasks, fine-tuning, research. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Technology Innovation Institute's model lineup.