Together AI launches Provisioned Throughput: reserved capacity for open models at 90% below Claude Opus list
Together AI launched Provisioned Throughput, a new inference capacity offering for frontier open models with token-based pricing and a 99% uptime SLA. The service allows teams to reserve guaranteed capacity without managing infrastructure or GPU-hour math. Provisioned Throughput Units (PTUs) cost $0.05 per minute and include a fixed slice of capacity (e.g., 138,840 input tokens/min on MiniMax M3), with different rates for input, cached input, and output tokens.
Available today for MiniMax M3 and GLM-5.2 with a one-month minimum term and regional capacity in North America and EMEA. Pricing works out to roughly $0.36 per million input tokens and $2.16 per million output tokens on MiniMax M3, compared to Claude Opus 4.8's $5 and $25 list prices—up to 90% cheaper for real-world production workloads. The model is designed for production teams migrating off proprietary APIs: token-based predictable pricing with reliability guarantees, not serverless best-effort.
Together AI reported its API token volume grew from 30 billion to 400 trillion tokens per month over nine months, with open models consuming an increasing share of traffic. Teams running open models report 6-20x lower inference costs than proprietary alternatives. Provisioned Throughput positions Together AI against dedicated GPU rental while avoiding the complexity burden, targeting production workloads where open models have closed the performance gap.