DeepSeek V4 Flash needs ~187.9 GB VRAM. Mac Studio M3 Ultra 256GB has 184.3 GB. With NVFP4 quantization, expect ~18 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
3.6 GB over capacity — needs offload or smaller quantization
Fit status
Runs with offload (needs ~3 GB host RAM)
Decode
17.8 tok/s
TTFT
10863 ms
Safe context
4K
Memory
187.9 GB / 184.3 GB
This setup is broadly balanced for this model.
Very little memory headroom
You can run the model, but there is not much room left for longer context, bigger batches, extra apps, or future model updates.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Buy headroom, not only minimum fit
A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs with offload (needs ~2.4 GB host RAM) | 17.9 tok/s | 5887 ms | 4K |
| Coding | S | Runs with offload (needs ~3 GB host RAM) | 17.8 tok/s | 10863 ms | 4K |
| Agentic Coding | S | Runs with offload (needs ~4.1 GB host RAM) | 17.6 tok/s | 15996 ms | 4K |
| Reasoning | S | Runs with offload (needs ~3 GB host RAM) | 17.8 tok/s | 12838 ms | 4K |
| RAG | S | Runs with offload (needs ~4.1 GB host RAM) | 17.6 tok/s | 19995 ms | 4K |
Inference speed
Estimated decode speed (tokens/sec) for DeepSeek V4 Flash at NVFP4 across popular GPUs and Apple Silicon, including multi-GPU rigs, using the fastest local runtime per device. Fastest is Mac Studio M3 Ultra 256GB at ~18 tok/s. Speed is memory-bandwidth bound, so cards that fit the whole model in VRAM run far faster than ones that offload to system RAM.
| GPU / Mac | Memory | Quant | Speed (tok/s) | Fits? |
|---|---|---|---|---|
Mac Studio M3 Ultra 256GB | 256 GB | NVFP4 | 17.8 | Offloads |
Mac Studio M2 Ultra 128GB | 128 GB | NVFP4 | 7.0 | Too big |
Mac Studio M1 Ultra 128GB | 128 GB | NVFP4 | 6.7 | Too big |
MacBook Pro M4 Max 128GB | 128 GB | NVFP4 | 5.2 | Too big |
MacBook Pro M4 Max 64GB | 64 GB | NVFP4 | 5.2 | Too big |
 RTX 5090 32GB | 32 GB | NVFP4 | 3.9 | Too big |
2× RX 7900 XTX 24GB | 48 GB | NVFP4 | 3.8 | Too big |
MacBook Pro M3 Max 64GB | 64 GB | NVFP4 | 3.6 | Too big |
MacBook Pro M1 Max 64GB | 64 GB | NVFP4 | 3.3 | Too big |
MacBook Pro M4 Pro 48GB | 48 GB | NVFP4 | 3.2 | Too big |
| 2× RTX 4090 24GB | 48 GB | NVFP4 | 2.6 | Too big |
| RTX 4090 24GB | 24 GB | NVFP4 | 2.5 | Too big |
| 2× RTX 3090 24GB | 48 GB | NVFP4 | 2.3 | Too big |
RX 7900 XTX 24GB | 24 GB | NVFP4 | 2.2 | Too big |
| RTX 3090 24GB | 24 GB | NVFP4 | 2.1 | Too big |
| RTX 4080 Super 16GB | 16 GB | NVFP4 | 2.0 | Too big |
| RTX 4070 12GB | 12 GB | NVFP4 | 2.0 | Too big |
| RTX 3060 12GB | 12 GB | NVFP4 | 2.0 | Too big |
| RTX 4060 8GB | 8 GB | NVFP4 | 2.0 | Too big |
| 4× RTX 3060 12GB | 48 GB | NVFP4 | 2.0 | Too big |
Estimates for single-stream decoding at NVFP4; real tokens/sec varies with prompt length, context, batch size, and runtime build. Prompt processing (prefill) is faster than the decode figures shown here.
How DeepSeek V4 Flash (284B params) fits at each quantization level on Mac Studio M3 Ultra 256GB (184.3 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 110.8 GB | Low | S90 |
Q3_K_SBest for your GPU | 3 | 139.2 GB | Low | S90 |
NVFP4 | 4 | 159.0 GB | Medium | F0 |
Q4_K_M | 4 | 173.2 GB | Medium | F0 |
Q5_K_M | 5 | 204.5 GB | High | F0 |
Q6_K | 6 | 232.9 GB | High | F0 |
Q8_0 | 8 | 303.9 GB | Very High | F0 |
F16 | 16 | 582.2 GB | Maximum | F0 |
Copy-paste commands to run DeepSeek V4 Flash on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "deepseek-ai/DeepSeek-V4-Flash" \
--hf-file "DeepSeek-V4-Flash-NVFP4.gguf" \
-c 4096 -ngl 99Yes, Mac Studio M3 Ultra 256GB can run DeepSeek V4 Flash with a S grade (Runs with offload (needs ~3 GB host RAM)). Expected decode speed: 17.8 tok/s.
DeepSeek V4 Flash (284B parameters) requires approximately 187.9 GB of memory with NVFP4 quantization.
The recommended quantization for DeepSeek V4 Flash is NVFP4, which balances quality and memory efficiency.
On Mac Studio M3 Ultra 256GB, DeepSeek V4 Flash achieves approximately 17.8 tokens per second decode speed with a time-to-first-token of 10863ms using NVFP4 quantization.
For coding workloads, DeepSeek V4 Flash on Mac Studio M3 Ultra 256GB receives a S grade with 17.8 tok/s and 4K context.
On Mac Studio M3 Ultra 256GB, DeepSeek V4 Flash can safely use up to 4K tokens of context. The model's official context limit is 1.0M, but available memory constrains the safe maximum.
Buy headroom, not only minimum fit. A slightly larger memory tier gives you safer context growth and makes the recommendation more future-proof.
Not always. Mac Studio M3 Ultra 256GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/deepseek-v4-flash-on-m3-ultra-256gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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