This week
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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
This is real infrastructure progress for long-context agents. The asymmetric compute (16B decode, 8B prefill) directly addresses the bottleneck that makes long-horizon reasoning expensive in production. If you're running inference-heavy agent systems, this model's cost profile changes your deployment math. Expect other labs to follow on KV cache compression immediately.
DeepSeek's agent performance is still flaky on spatial reasoning tasks. If you're evaluating DeepSeek for agent workflows, this is a concrete data point to run your own tests on rather than assume it handles physical simulation or complex multi-step spatial problems. Tool-use doesn't mean reasoning.