In an exploration of inference platforms using the GPT-OSS-120B model, Artificial Analysis benchmarks several providers based on key performance metrics such as throughput, time to first token, and cost efficiency, which are crucial for reasoning-heavy workloads. The evaluation compares platforms like Clarifai, Google Vertex AI, Microsoft Azure, and others, highlighting significant differences in latency and cost that impact real-world applications. Clarifai stands out for its high throughput and cost efficiency, making it suitable for interactive tasks, while CompactifAI offers the lowest cost for more budget-sensitive projects. The benchmarks emphasize the importance of selecting an inference provider aligned with specific workload requirements, considering trade-offs between performance, latency, and cost, to optimize efficiency and scalability in deploying large language models.