Qwen3-Coder-Next needs ~70.3 GB VRAM. H100 NVL 188GB has 188.0 GB. With Q4_K_M quantization, expect ~392 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
426.7 tok/s
TTFT
454 ms
Safe context
256K
Memory
70.3 GB / 188.0 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 | Runs well | 392.3 tok/s | 350 ms | 256K |
| Coding | S | Runs well | 392.3 tok/s | 493 ms | 256K |
| Agentic Coding | S | Runs well | 392.3 tok/s | 718 ms | 256K |
| Reasoning | S | Runs well | 392.3 tok/s | 583 ms | 256K |
| RAG | S | Runs well | 392.3 tok/s | 897 ms | 256K |
How Qwen3-Coder-Next (80B params) fits at each quantization level on H100 NVL 188GB (188.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 31.2 GB | Low | A79 |
Q3_K_S | 3 | 39.2 GB | Low | A80 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3-Coder-Next on your machine.
Run
ollama run qwen3-coder-nextYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 123B | S | 91.6 tok/s | ||
| 122B | S |
Yes, H100 NVL 188GB can run Qwen3-Coder-Next with a S grade (Runs well). Expected decode speed: 392.3 tok/s.
Qwen3-Coder-Next (80B parameters) requires approximately 70.3 GB of memory with Q4_K_M quantization.
The recommended quantization for Qwen3-Coder-Next is Q4_K_M, which balances quality and memory efficiency.
On H100 NVL 188GB, Qwen3-Coder-Next achieves approximately 392.3 tokens per second decode speed with a time-to-first-token of 493ms using Q4_K_M quantization.
For coding workloads, Qwen3-Coder-Next on H100 NVL 188GB receives a S grade with 392.3 tok/s and 256K context.
On H100 NVL 188GB, Qwen3-Coder-Next can safely use up to 256K tokens of context. The model's official context limit is 256K, 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-coder-next-on-h100-nvl-188gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
44.8 GB |
| Medium |
| A81 |
Q4_K_M | 4 | 48.8 GB | Medium | A81 |
Q5_K_M | 5 | 57.6 GB | High | A82 |
Q6_K | 6 | 65.6 GB | High | A83 |
Q8_0Best for your GPU | 8 | 85.6 GB | Very High | S85 |
F16 | 16 | 164.0 GB | Maximum | F0 |
| 254 tok/s |
| 284B | S | 136.1 tok/s |
| 119B | S | 275.4 tok/s |
| 117B | S | 96.3 tok/s |