Mixtral 8x22B needs ~109.5 GB VRAM. B100 192GB has 192.0 GB. With Q4_K_M quantization, expect ~162 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
162.4 tok/s
TTFT
1192 ms
Safe context
66K
Memory
109.5 GB / 192.0 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 | 162.4 tok/s | 650 ms | 66K |
| Coding | B | Runs well | 162.4 tok/s | 1192 ms | 66K |
| Agentic Coding | B | Runs well | 162.4 tok/s | 1734 ms | 66K |
| Reasoning | B | Runs well | 162.4 tok/s | 1409 ms | 66K |
| RAG | B | Runs well | 162.4 tok/s | 2168 ms | 66K |
Inference speed
Estimated decode speed (tokens/sec) for Mixtral 8x22B at Q4_K_M 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 ~14 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 | Q4_K_M | 13.5 | Fits |
Mac Studio M2 Ultra 128GB | 128 GB | Q4_K_M | 9.2 | Heavy offload |
Mac Studio M1 Ultra 128GB | 128 GB | Q4_K_M | 8.7 | Heavy offload |
MacBook Pro M4 Max 128GB | 128 GB | Q4_K_M | 6.8 | Heavy offload |
2× RX 7900 XTX 24GB | 48 GB | Q4_K_M | 5.0 | Too big |
 RTX 5090 32GB | 32 GB | Q4_K_M | 3.9 | Too big |
MacBook Pro M4 Max 64GB | 64 GB | Q4_K_M | 3.7 | Too big |
| 2× RTX 4090 24GB | 48 GB | Q4_K_M | 3.4 | Too big |
| 2× RTX 3090 24GB | 48 GB | Q4_K_M | 2.9 | Too big |
MacBook Pro M3 Max 64GB | 64 GB | Q4_K_M | 2.6 | Too big |
| 4× RTX 3060 12GB | 48 GB | Q4_K_M | 2.6 | Too big |
| RTX 4090 24GB | 24 GB | Q4_K_M | 2.5 | Too big |
RX 7900 XTX 24GB | 24 GB | Q4_K_M | 2.5 | Too big |
MacBook Pro M1 Max 64GB | 64 GB | Q4_K_M | 2.4 | Too big |
MacBook Pro M4 Pro 48GB | 48 GB | Q4_K_M | 2.3 | Too big |
| RTX 3090 24GB | 24 GB | Q4_K_M | 2.1 | Too big |
| RTX 4080 Super 16GB | 16 GB | Q4_K_M | 2.0 | Too big |
| RTX 4070 12GB | 12 GB | Q4_K_M | 2.0 | Too big |
| RTX 3060 12GB | 12 GB | Q4_K_M | 2.0 | Too big |
| RTX 4060 8GB | 8 GB | Q4_K_M | 2.0 | Too big |
Estimates for single-stream decoding at Q4_K_M; 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 Mixtral 8x22B (141B params) fits at each quantization level on B100 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 55.0 GB | Low | B56 |
Q3_K_S | 3 | 69.1 GB | Low | B57 |
NVFP4 | 4 | 79.0 GB | Medium | B58 |
Q4_K_M | 4 | 86.0 GB | Medium | B59 |
Q5_K_M | 5 | 101.5 GB | High | B61 |
Q6_K | 6 | 115.6 GB | High | B61 |
Q8_0Best for your GPU | 8 | 150.9 GB | Very High | B61 |
F16 | 16 | 289.0 GB | Maximum | F0 |
Copy-paste commands to run Mixtral 8x22B on your machine.
Run
ollama run mixtral:8x22bYes, B100 192GB can run Mixtral 8x22B with a B grade (Runs well). Expected decode speed: 162.4 tok/s.
Mixtral 8x22B (141B parameters) requires approximately 109.5 GB of memory with Q4_K_M quantization.
The recommended quantization for Mixtral 8x22B is Q4_K_M, which balances quality and memory efficiency.
On B100 192GB, Mixtral 8x22B achieves approximately 162.4 tokens per second decode speed with a time-to-first-token of 1192ms using Q4_K_M quantization.
For coding workloads, Mixtral 8x22B on B100 192GB receives a B grade with 162.4 tok/s and 66K context.
On B100 192GB, Mixtral 8x22B can safely use up to 66K tokens of context. The model's official context limit is 66K, 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-8x22b-on-b100-192gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview: