Qwen3-Coder-Next needs ~57.6 GB VRAM. AMD Instinct MI210 64GB has 64.0 GB. With Q4_K_M quantization, expect ~75 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
75.2 tok/s
TTFT
2574 ms
Safe context
86K
Memory
57.6 GB / 64.0 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 | 75.2 tok/s | 1404 ms | 86K |
| Coding | S | Tight fit | 75.2 tok/s | 2574 ms | 86K |
| Agentic Coding | S | Tight fit | 75.2 tok/s | 3744 ms | 86K |
| Reasoning | S | Tight fit | 75.2 tok/s | 3042 ms | 86K |
| RAG | S | Tight fit | 75.2 tok/s | 4680 ms | 86K |
How Qwen3-Coder-Next (80B params) fits at each quantization level on AMD Instinct MI210 64GB (64.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 31.2 GB | Low | S87 |
Q3_K_S | 3 | 39.2 GB | Low | S88 |
NVFP4 | 4 |
Copy-paste commands to run Qwen3-Coder-Next on your machine.
Run
ollama run qwen3-coder-nextYes, AMD Instinct MI210 64GB can run Qwen3-Coder-Next with a S grade (Tight fit). Expected decode speed: 75.2 tok/s.
Qwen3-Coder-Next (80B parameters) requires approximately 57.6 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 AMD Instinct MI210 64GB, Qwen3-Coder-Next achieves approximately 75.2 tokens per second decode speed with a time-to-first-token of 2574ms using Q4_K_M quantization.
For coding workloads, Qwen3-Coder-Next on AMD Instinct MI210 64GB receives a S grade with 75.2 tok/s and 86K context.
On AMD Instinct MI210 64GB, Qwen3-Coder-Next can safely use up to 86K 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-instinct-mi210-64gb" 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 |
| S88 |
Q4_K_MBest for your GPU | 4 | 48.8 GB | Medium | S88 |
Q5_K_M | 5 | 57.6 GB | High | F0 |
Q6_K | 6 | 65.6 GB | High | F0 |
Q8_0 | 8 | 85.6 GB | Very High | F0 |
F16 | 16 | 164.0 GB | Maximum | F0 |