Model ID
deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
Capabilities
DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp is a multimodal Mixture-of-Experts model designed for visual understanding and multimodal agentic workflows while maintaining strong text-only agent performance. It features 284B total parameters with 13B activated, using a 43-layer architecture with 4,096 hidden size, 64 attention heads, and 1 KV head. The model employs 256 routed experts with 6 activated per token alongside a shared expert, DeepSeek sparse attention, and 3 Multi-Token Prediction layers. Supporting up to a 1M-token context, it integrates a 32-layer vision encoder for enhanced multimodal reasoning and visual processing.
About this model
DeepSeek V4 Flash Vision Exp is a multimodal Mixture-of-Experts model designed for visual understanding and multimodal agentic workflows while maintaining strong text-only agent performance. It features 284B total parameters with 13B activated, using a 43-layer architecture with 4,096 hidden size, 64 attention heads, and 1 KV head. The model employs 256 routed experts with 6 activated per token alongside a shared expert, DeepSeek sparse attention, and 3 Multi-Token Prediction layers. Supporting up to a 1M-token context, it integrates a 32-layer vision encoder for enhanced multimodal reasoning and visual processing.
Model specifications and capabilities are published by the model author and reproduced here from HF Model Card (deepseek-ai/DeepSeek-V4-Flash-Vision-Exp). Released under MIT.
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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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