DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp is an open-weights language model from DeepSeek, released October 17, 2026. It has 305B parameters (mixture-of-experts, 34B active). The context window is 1M tokens. API price: $0.15 input / $0.6 output per million tokens.
Check it against your own PC →
Can you run DeepSeek V4 Flash Vision Exp locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Too large | – | – | – | – |
| 8 GB VRAM | Too large | – | – | – | – |
| 12 GB VRAM | Too large | – | – | – | – |
| 16 GB VRAM | Too large | – | – | – | – |
| 24 GB VRAM | Too large | – | – | – | – |
| 32 GB VRAM | Too large | – | – | – | – |
Ready-made quantizations on Hugging Face: huihui-ai/Huihui-DeepSeek-V4-Flash-Vision-Exp-abliterated-GGUF · unsloth/DeepSeek-V4-Flash-Vision-Exp-GGUF · ggml-org/DeepSeek-V4-Flash-Vision-Exp-GGUF · vultr/DeepSeek-V4-Flash-Vision-Exp-GGUF · xautonomics/DeepSeek-V4-Flash-Vision-Exp-UD-IQ4_XS.LAYR.GGUF · audreyt/DeepSeek-V4-Flash-Vision-Exp-Abliterated-GGUF
Benchmark results
Epoch AI has not published results for DeepSeek V4 Flash Vision Exp yet. New models are usually evaluated within days to weeks.
Links
Hugging Face: deepseek-ai/DeepSeek-V4-Flash-Vision-Exp
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