Mixtral 8x7B needs ~45.9 GB VRAM. NVIDIA H200 PCIe 141GB has 141.0 GB. With Q4_K_M quantization, expect ~290 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
Fit status
Runs well
Decode
290.0 tok/s
TTFT
668 ms
Safe context
33K
Memory
45.9 GB / 141.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | B | Runs well | 290.0 tok/s | 364 ms | 33K |
| Coding | B | Runs well | 290.0 tok/s | 668 ms | 33K |
| Agentic Coding | B | Runs well | 290.0 tok/s | 971 ms | 33K |
| Reasoning | B | Runs well | 290.0 tok/s | 789 ms | 33K |
| RAG | B | Runs well | 290.0 tok/s | 1214 ms | 33K |
How Mixtral 8x7B (47B params) fits at each quantization level on NVIDIA H200 PCIe 141GB (141.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.3 GB | Low | C54 |
Q3_K_S | 3 | 23.0 GB | Low | C54 |
NVFP4 | 4 | 26.3 GB | Medium | C55 |
Q4_K_M | 4 | 28.7 GB | Medium | B55 |
Q5_K_M | 5 | 33.8 GB | High | B56 |
Q6_K | 6 | 38.5 GB | High | B57 |
Q8_0 | 8 | 50.3 GB | Very High | B59 |
F16Best for your GPU | 16 | 96.4 GB | Maximum | B63 |
Copy-paste commands to run Mixtral 8x7B on your machine.
Run
ollama run mixtralYes, NVIDIA H200 PCIe 141GB can run Mixtral 8x7B with a B grade (Runs well). Expected decode speed: 290.0 tok/s.
Mixtral 8x7B (47B parameters) requires approximately 45.9 GB of memory with Q4_K_M quantization.
The recommended quantization for Mixtral 8x7B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA H200 PCIe 141GB, Mixtral 8x7B achieves approximately 290.0 tokens per second decode speed with a time-to-first-token of 668ms using Q4_K_M quantization.
For coding workloads, Mixtral 8x7B on NVIDIA H200 PCIe 141GB receives a B grade with 290.0 tok/s and 33K context.
On NVIDIA H200 PCIe 141GB, Mixtral 8x7B can safely use up to 33K tokens of context. The model's official context limit is 33K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/mixtral-8x7b-on-h200-pcie-141gb" 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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