Llama 4 Already Live on NetMind from Day 1 of Its Launch!
On day 1 of Llama 4’s release, we added it to our AI API model library! At NetMind, we’re dedicated to delivering the latest models to our users. And rest assured—when the next cutting-edge model arrives, we’ll have it ready for you in no time!
NetMind just leveled up. We're excited to announce that Llama 4 is now available for real-time inference through our decentralized AI infrastructure. Whether you're building apps, coding agents, or exploring multimodal workflows, Llama 4 Maverick and Llama 4 Scout are ready to deploy.
These next-gen Mixture-of-Experts (MoE) models bring serious capability to the table, with advanced reasoning, multilingual fluency, and support for both text + image inputs.
What’s Now Live
- 400B total parameters, 17B active per token
- 128-expert MoE architecture
- Built for multilingual understanding, image+text inputs, and high-level writing
- Ideal for creative generation, content-rich applications, and multilingual chat
- 109B total parameters, 17B active per token
- 16-expert MoE architecture
- Optimized for code reasoning, multi-document Q&A, and personalized agents
- Perfect for dev tools, research assistants, and lightweight deployments
What Makes Llama 4 Powerful
- Llama 4 is the first Mixture-of-Experts (MoE) model from Meta. Instead of using all of its computing power for every prompt, a Llama 4 model can intelligently choose which 'expert' parts of its brain to activate based on the specific task.
- Llama 4 adopts multimodal input natively. All Llama 4 models adopt an early fusion of multimodal input, seamlessly integrating text, image, and video tokens into a unified model backbone.
- Llama 4 Scout, the small-scale model featuring 17B active parameters (with 16 experts totaling 109B parameters), delivers both ultra-fast speed and native multi-modal support. It is capable of processing an industry-leading multi-modal context window of over 10 million tokens (equivalent to processing more than 20 hours of video), and can be deployed on a single H100 GPU.
- Llama 4 Maverick outperforms GPT-4o and Gemini 2.0 Flash in several mainstream benchmark tests, with its reasoning and coding capabilities comparable to the newly released DeepSeek v3, yet its activated parameter count is less than half of the latter.
Why Use NetMind?
NetMind isn’t just fast—it’s open, flexible, and optimized for developers.
As a decentralized AI compute layer, we offer:
- Real-time inference for open-source models like Llama 4
- Free credits to explore and test
- Simple API integration
- Support for model hosting & compute contributions (Node operators welcome)
- Startup-friendly programs like NetMind Elevate
You get enterprise-grade performance without the enterprise lock-in.
Build What’s Next
Whether you're training agents, building AI-native apps, or running complex multimodal pipelines, Llama 4 on NetMind unlocks speed, power, and precision—all on your terms.