Expired50% confidenceBenchmarkExact time
vLLM v0.3.1 delivers deep optimizations for the DeepSeek series of models, with inference accelerated 1.9x in low-concurrency scenarios and throughput increased 5.3x in high-concurrency scenarios.
1
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50%
Confidence
Short-term (~14 days)
Relevance
10/13/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/27/2026(expired)
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UnverifiedEnterprises currently using vLLM to deploy DeepSeek models are advised to evaluate upgrading to the new version as soon as possible; the 1.9x to 5.3x performance improvement is enough to cover the migration cost.79% similarUnverifiedThe vLLM team integrated the new kernels open-sourced by DeepSeek into the inference engine, further improving underlying computational efficiency.79% similarUnverifiedDeepSeek has undergone iterative model updates from V2 to V3 to R1, with both model capabilities and interaction methods changing rapidly.75% similarUnverifiedDeepSeek V3 and R1, leveraging the MoE architecture, compress inference costs to a fraction of those of traditional dense models while maintaining top-tier performance.75% similar
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