Meta AI (Updated June 2025)
Social media giant's commitment to open-source AI with the revolutionary Llama 4 series featuring Mixture of Experts architecture, commercial-friendly licensing, and cutting-edge performance.
🚀 Latest April 2025 Releases:
Company Overview
Meta has positioned itself as the leader in open-source AI development through its Llama model series. With the release of Llama 4, the company has introduced innovative Mixture of Experts architecture while maintaining its commitment to accessible, commercial-friendly AI development.
Open Source Leadership
"To bring the world closer together through open AI research and development"
Key Achievements
- Leading open-source AI model provider
- Pioneer in Mixture of Experts architecture
- Strong commitment to commercial licensing
- Extensive research in AI safety and alignment
Llama Model Family (June 2025)
Open-source AI models with commercial-friendly licensing
Llama 4 Scout
Pricing
$0.11 per million input tokens, $0.34 per million output tokens
Context Length
8K tokens
Key Capabilities
API Endpoint
/v1/chat/completions Llama 4 Maverick
Pricing
$0.20 per million input tokens, $0.60 per million output tokens
Context Length
8K tokens
Key Capabilities
API Endpoint
/v1/chat/completions Llama 3.3 70B
Pricing
$0.59 per million input tokens, $0.79 per million output tokens
Context Length
32K tokens
Key Capabilities
API Endpoint
/v1/chat/completions Code Llama 4
Pricing
Open Source (hosting costs apply)
Context Length
16K tokens
Key Capabilities
API Endpoint
/v1/chat/completions Llama 2 70B
Pricing
Open Source (hosting costs apply)
Context Length
4K tokens
Key Capabilities
API Endpoint
/v1/chat/completions Open Source Advantages
Why Meta's approach to AI development matters
Cost Effective
No licensing fees, only pay for compute resources you use.
Customizable
Fine-tune models for your specific use cases and domains.
Commercial Use
Business-friendly licensing for commercial applications.
Transparent
Full visibility into model architecture and training process.
Mixture of Experts Architecture
Llama 4 Scout and Maverick use advanced MoE architecture with 17B active parameters but much larger total capacity through expert routing.