Model ID
deepseek-ai/DeepSeek-V4-Flash
Capabilities
DeepSeek V4 Flash
DeepSeek V4 Flash is a large-scale Mixture-of-Experts model optimized for ultra-long context reasoning and efficient inference. It features 284B total parameters with approximately 13B activated, using 256 routed experts with 6 selected per token across a 43-layer architecture with 4,096 hidden size and 64 attention heads. Built with hybrid CSA + HCA attention and manifold-constrained hyper-connections, it supports up to a 1M token context window. With FP4 and FP8 mixed precision and strong agentic tool-calling capabilities, it is designed for scalable, high-efficiency reasoning and multi-domain workloads.
About this model
DeepSeek V4 Flash is a large-scale Mixture-of-Experts model optimized for ultra-long context reasoning and efficient inference. It features 284B total parameters with approximately 13B activated, using 256 routed experts with 6 selected per token across a 43-layer architecture with 4,096 hidden size and 64 attention heads. Built with hybrid CSA + HCA attention and manifold-constrained hyper-connections, it supports up to a 1M token context window. With FP4 and FP8 mixed precision and strong agentic tool-calling capabilities, it is designed for scalable, high-efficiency reasoning and multi-domain workloads.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (deepseek-ai/DeepSeek-V4-Flash). Released under MIT. Further reading: Blog
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Hardware
B200
1,440 GB
Engine
vLLM
SGLang
Deployment code
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Performance under load
Tokens/s (total)
Benchmarks measured by Vultr on B200 · vLLM. Throughput and latency vary with concurrency, input length and engine configuration, so treat these as a comparison baseline, not a service guarantee.
NVIDIA HGX B200
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