Mixtral 8x7B needs ~39.8 GB VRAM. NVIDIA H800 80GB has 80.0 GB. With Q4_K_M quantization, expect ~175 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
174.8 tok/s
TTFT
1108 ms
Safe context
33K
Memory
39.8 GB / 80.0 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 | 174.8 tok/s | 604 ms | 33K |
| Coding | B | Runs well | 174.8 tok/s | 1108 ms | 33K |
| Agentic Coding | B | Runs well | 174.8 tok/s | 1611 ms | 33K |
| Reasoning | B | Runs well | 174.8 tok/s | 1309 ms | 33K |
| RAG | B | Runs well | 174.8 tok/s | 2014 ms | 33K |
How Mixtral 8x7B (47B params) fits at each quantization level on NVIDIA H800 80GB (80.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.3 GB | Low | B57 |
Q3_K_S | 3 | 23.0 GB | Low | B58 |
NVFP4 | 4 | 26.3 GB | Medium | B59 |
Q4_K_M | 4 | 28.7 GB | Medium | B59 |
Q5_K_M | 5 | 33.8 GB | High | B60 |
Q6_K | 6 | 38.5 GB | High | B62 |
Q8_0Best for your GPU | 8 | 50.3 GB | Very High | B63 |
F16 | 16 | 96.4 GB | Maximum | F0 |
Copy-paste commands to run Mixtral 8x7B on your machine.
Run
ollama run mixtralYes, NVIDIA H800 80GB can run Mixtral 8x7B with a B grade (Runs well). Expected decode speed: 174.8 tok/s.
Mixtral 8x7B (47B parameters) requires approximately 39.8 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 H800 80GB, Mixtral 8x7B achieves approximately 174.8 tokens per second decode speed with a time-to-first-token of 1108ms using Q4_K_M quantization.
For coding workloads, Mixtral 8x7B on NVIDIA H800 80GB receives a B grade with 174.8 tok/s and 33K context.
On NVIDIA H800 80GB, 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-h800-80gb" 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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