Open Models have crossed a threshold

1. 1Evaluate open models like GLM-5 and MiniMax M2.7 for core agent tasks
2. 2Compare the cost and latency of open models to closed frontier models
3. 3Consider using open models for production workflows to reduce costs and improve response times
4. 4Explore specialized inference infrastructure providers like Groq, Fireworks, and Baseten to optimize latency and throughput

Developers and data scientists on a team can benefit from using open models for agent tasks, as they offer a viable option for reducing costs and latency while maintaining performance

💡 Open models offer a level of consistency and predictability that makes real-world workflows more viable, while reducing costs and latency

🚀 Open models now match closed frontier models on core agent tasks at a fraction of the cost and latency! 💸