Qwen 3 235B A22B needs ~165.1 GB VRAM. NVIDIA B200 180GB has 180.0 GB. With Q4_K_M quantization, expect ~137 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
Tight fit
Decode
136.8 tok/s
TTFT
1416 ms
Safe context
99K
Memory
165.1 GB / 180.0 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 | S | Tight fit | 136.8 tok/s | 772 ms | 99K |
| Coding | S | Tight fit | 136.8 tok/s | 1416 ms | 99K |
| Agentic Coding | S | Tight fit | 136.8 tok/s | 2059 ms | 99K |
| Reasoning | S | Tight fit | 136.8 tok/s | 1673 ms | 99K |
| RAG | S | Tight fit | 136.8 tok/s | 2574 ms | 99K |
How Qwen 3 235B A22B (235B params) fits at each quantization level on NVIDIA B200 180GB (180.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 91.7 GB | Low | S86 |
Q3_K_S | 3 | 115.2 GB | Low | S86 |
NVFP4 | 4 | 131.6 GB | Medium | S86 |
Q4_K_MBest for your GPU | 4 | 143.4 GB | Medium | S86 |
Q5_K_M | 5 | 169.2 GB | High | F0 |
Q6_K | 6 | 192.7 GB | High | F0 |
Q8_0 | 8 | 251.5 GB | Very High | F0 |
F16 | 16 | 481.7 GB | Maximum | F0 |
Copy-paste commands to run Qwen 3 235B A22B on your machine.
Run
lms load Qwen3-235B-A22B-Instruct-2507 && lms server startYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
 DeepSeek V4 Flash | 284B | S | 144.8 tok/s |
Yes, NVIDIA B200 180GB can run Qwen 3 235B A22B with a S grade (Tight fit). Expected decode speed: 136.8 tok/s.
Qwen 3 235B A22B (235B parameters) requires approximately 165.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen 3 235B A22B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA B200 180GB, Qwen 3 235B A22B achieves approximately 136.8 tokens per second decode speed with a time-to-first-token of 1416ms using Q4_K_M quantization.
For coding workloads, Qwen 3 235B A22B on NVIDIA B200 180GB receives a S grade with 136.8 tok/s and 99K context.
On NVIDIA B200 180GB, Qwen 3 235B A22B can safely use up to 99K tokens of context. The model's official context limit is 131K, 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/qwen-3-235b-a22b-on-b200-180gb" 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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