FriendliAI offers a platform for teams currently using open models on providers like Fireworks AI or Google Vertex AI, promising significant improvements in performance and cost. By switching to FriendliAI, users can expect 99.99% reliability, three times the throughput, and up to 90% savings on inference costs, all while making minimal changes to their existing stack. The platform is designed to alleviate common bottlenecks associated with scaling, such as latency issues and throughput limits. One of the standout features of FriendliAI is its compatibility with popular models like Qwen, DeepSeek, and GLM. It provides stable APIs that ensure predictable outputs, enabling the development of agentic applications without complicated migrations. Transitioning to FriendliAI is straightforward; most teams can switch with just three lines of code. This ease of migration is a key selling point, especially for those already facing rising costs while using OpenAI or Anthropic. In performance benchmarks, FriendliAI has demonstrated superior throughput and efficiency compared to vLLM-based systems. In tests with the Qwen3 235B model, it achieved three times the throughput, showcasing its strength in handling high inference volumes and tight latency requirements. Alongside these performance gains, teams can access over 500,000 models from Hugging Face, further enhancing their capabilities. To incentivize the switch, FriendliAI offers up to $50,000 in inference credits based on users' current spending. The process involves submitting contact information and a recent bill from the current provider, followed by a review to approve the credit amount. This offer stands as a limited-time opportunity for teams looking to optimize their inference costs and capabilities.