Long-context reasoning changes what teams can ask a model to do. Entire repositories, large document sets, long agent traces, and tool outputs can fit into the model’s working context instead of being compressed into brittle summaries. But the models that can use that much context are also the hardest to serve: a 1.6T-parameter MoE with million-token context is not something most teams want to deploy, tune, and operate themselves.DeepSeek-V4 Pro is now available on Together AI, the AI Native Cloud, so teams can start with Serverless Inference at 512K context and move to dedicated infrastucture for full 1M context, reserved capacity, and production control. DeepSeek-V4 Flash is coming soon, giving teams another V4 option for workloads where speed and cost matter more than maximum reasoning depth.At a glance
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Model
DeepSeek V4 Pro on Together AI
