The META Llama 3.3 70B Instruct model delivers enterprise-grade performance matching higher-tier AI systems while reducing operational costs. Designed for complex analytical tasks and technical implementations, this version provides precise instruction processing ideal for developers building specialized applications. Organizations can maintain cutting-edge capabilities without infrastructure overhead through optimized resource efficiency.
The META Llama 3.3 70B Instruct model delivers advanced AI capabilities designed for specialized instruction-based tasks. Built to match the performance of larger models like the 405B variant, it offers a cost-effective solution without compromising output quality. This model is optimized for scenarios requiring precise command execution and structured responses, making it ideal for developers and enterprises.
Unlike conversational models, this version focuses exclusively on task-oriented applications, ensuring higher accuracy for targeted use cases. Its streamlined architecture allows seamless integration into existing systems while maintaining robust performance standards.
Below you will find all supported platforms and the related CogniTech AI Credits costs.
| Details | Input Credits | Output Credits | Fine-Tuning |
|---|---|---|---|
| Details | Input Credits | Output Credits | Fine-Tuning |
|
Version: All Region: us-east-1 Context: 128,000 TPM: 600,000 RPM: 800 |
Chat: 0.0936 / 1000 tokens |
Chat: 0.0936 / 1000 tokens |
NA |