DeepSeek-V4 Pro now available on Together AI

This post announces the availability of DeepSeek V4 Pro on Together AI, highlighting its 512K-token context window (with 1M model-level context) and 1.6T-parameter MoE architecture. It details the controllable reasoning modes (Non-Think, Think High, Think Max) and their use cases, along with benchmark results. A key technical contribution is the explanation of cached input pricing, which offers a 90% cost reduction for reused context, and its application in workload patterns like code agents and document intelligence. The post also outlines the deployment path from serverless to reserved capacity for long-context workloads, emphasizing the engineering considerations for managing throughput, concurrency, latency, KV cache pressure, and cost.