GPUs tracked39Price history3 dayssince Sep 3, 2026Price points (24h)11,753 pointsBiggest 24h dropBiggest 24h riseData updated Sep 5, 2026

How Much VRAM Does DeepSeek V4 Flash Need to Run Locally?

See devices that run it

DeepSeek V4 Flash is a MoE model with 284B total parameters and 13B active per token. At Q4 it needs 160GB of VRAM to sit entirely on the GPU; with experts offloaded to system RAM it needs only 7GB of VRAM plus 155GB of RAM. The cheapest device that holds it is the Mac Studio M3 Ultra 512GB, with no used-price data yet, at roughly 47.2 tokens/s. In offload mode the cheapest card that runs it is the GeForce RTX 2080 Ti, at roughly 11 tokens/s.

DeepSeek V4 Flash details

Launch dateJul 31, 2026
Revision0731
LicenseMIT
ArchitectureMoE
GGUF repo
Ollama tag
Downloads (30d)4,559,659
Min VRAM at Q4160 GB · Q4_K_M · 8K
Experts offloaded7 GB VRAM + 155 GB RAM
Parameters284B
MoE13B
Layers43
Hidden size4,096
KV heads1
Head dim512
Max context1M
VendorDeepSeek

VRAM needed for DeepSeek V4 Flash by quantization and context

Total at 8K

MoE: all 284B parameters must stay resident in memory, while speed is set by the 13B active per token.

QuantizationWeightsGBTotal at 8KGBTotal at 32KGBTotal at 128KGB
Q4_K_M158.3est.160162170.1
Q5_K_M191.6est.193.3195.3203.4
Q8_0294.4est.296.1298.1306.1
FP16555.4est.557.1559.1567.2

Total = weights + KV cache (FP16) + 1GB runtime overhead. Weights marked GGUF are measured file sizes from the repository; the rest are estimated from bytes per parameter. Contexts beyond this model's 1M limit show a dash.

Which GPUs can run DeepSeek V4 Flash?

Q4_K_M · 8K context · sorted by eBay used price
DeviceVRAMGBUsed priceEst. t/sSuggested context
Mac Studio M3 Ultra 512GB512No listings47.2128K

Fits when weights + KV cache + runtime overhead is at or below usable memory, single card. "Offload" on MoE models means it runs with expert weights in system RAM (only attention layers and KV cache stay in VRAM); that speed assumes 70 GB/s RAM bandwidth. The context column is the largest tier that fits.

GPUs that run DeepSeek V4 Flash with experts offloaded to RAM

Expert weights live in system RAM (needs at least 155 GB); VRAM holds only attention layers, shared experts and the KV cache, at least 7 GB at Q4. Speed is bound by RAM bandwidth (estimated at 70 GB/s) and is far slower than a full-VRAM setup.

DeviceVRAMGBUsed priceRAM neededGBEst. t/s
GeForce RTX 2080 Ti1115511.2
GeForce RTX 40801615511.4
GeForce RTX 5070 Ti1615511.6
GeForce RTX 50801615511.7
Radeon RX 7800 XT1615510.8
Radeon RX 9070 XT1615510.8
Tesla V100 16GB1615511.6
Radeon RX 7900 XT2015511.1
Arc Pro B602415510.1
GeForce RTX 30902415511.7
GeForce RTX 40902415511.7
GeForce RTX 5090 D V22415511.9
Radeon RX 7900 XTX2415511.4
RTX PRO 4000 Blackwell2415511.3
Arc Pro B653215510.6
Arc Pro B703215510.6
GeForce RTX 4080 SUPER 32GB (modded)3215511.4
GeForce RTX 50903215512.1
GeForce RTX 5090 D3215512.1
Instinct MI1003215511.6
Radeon AI PRO R97003215510.8
Radeon PRO W78003215510.7
RTX PRO 4500 Blackwell3215511.6
Tesla V100 32GB3215511.6
A100 40GB PCIe4015512
CMP 170HX 40GB (modded)4015512
GeForce RTX 4090 48GB (modded)4815511.7
Radeon PRO W79004815511.2
RTX PRO 5000 Blackwell 48GB4815511.9
CMP 170HX 64GB (modded)6415512
Instinct MI2106415511.8
RTX PRO 5000 Blackwell 72GB7215511.9
RTX PRO 6000D8415512
RTX PRO 6000 Blackwell9615512.1
Mac Studio M4 Max 128GB12815510.7
Mac Studio M5 Max 128GB12815510.9
MacBook Pro M4 Max 128GB12815510.7
MacBook Pro M5 Max 128GB12815510.9

Run DeepSeek V4 Flash with Ollama, llama.cpp or vLLM

Ollama

The Ollama library has no official tag for it yet.

vLLM

vLLM serves the original-precision weights, which needs far more memory than GGUF and usually more than one GPU.

vllm serve deepseek-ai/DeepSeek-V4-Flash-0731

File names follow that week's model-library snapshot; the definitions are in the methodology. Methodology

FAQ

How much VRAM does DeepSeek V4 Flash need?

At Q4_K_M with an 8K context DeepSeek V4 Flash needs about 160GB of VRAM; 192GB leaves comfortable headroom.

What is the cheapest GPU that runs DeepSeek V4 Flash?

The Mac Studio M3 Ultra 512GB: 512GB of VRAM at roughly 47.2 tokens/s. We have no used-price data for it yet.

Can you run DeepSeek V4 Flash with Ollama?

Not yet: there is no official Ollama tag and no public GGUF build for it.