Can I Run Qwen3-Coder on NVIDIA RTX PRO 6000 Blackwell?
Written by Jakub Rusinowski · Last updated September 29, 2026
Yes, comfortably — Qwen3-Coder-Next (80B-A3B MoE) at Q4_K_M needs 51.6 GB at 8K context (48.3 GB weights + 3.3 GB KV cache/overhead), leaving ~44.4 GB of the NVIDIA RTX PRO 6000 Blackwell's 96 GB, at ~235 tok/s (est.), with room for up to 128K context.
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NVIDIA RTX PRO 6000 Blackwell Specs
| VRAM | 96 GB |
| Memory Bandwidth | 1792 GB/s |
Qwen3-Coder-Next (80B-A3B MoE) on the NVIDIA RTX PRO 6000 Blackwell: VRAM by quantization
| Quant | VRAM needed | Fits 96 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 163.3 GB | ✗ No | — | — |
| Q8_0 | 88.3 GB | ✓ Yes | 32K | — |
| Q6_K | 68.9 GB | ✓ Yes | 64K | — |
| Q5_K_M | 60 GB | ✓ Yes | 64K | — |
| Q4_K_M | 51.6 GB | ✓ Yes | 128K | — |
| Q3_K_M | 37.4 GB | ✓ Yes | 128K | — |
| Q2_K | 29.6 GB | ✓ Yes | 128K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 96 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA RTX PRO 6000 Blackwell: 8K 51.6 GB · 32K 59 GB · 128K 88.8 GB. Every window this model publishes still fits 96 GB.
No compatible GPU? Qwen3-Coder-Next (80B-A3B MoE) on 96 GB of system RAM, CPU only: runs.
Qwen3-Coder Sizes That Fit the NVIDIA RTX PRO 6000 Blackwell (at 8K context)
| Qwen3-Coder-Next (80B-A3B MoE) | Q4_K_M · 51.6 GB at 8K context · ~235 tok/s (est.) |
| Qwen3-Coder 30B-A3B (MoE) | Q4_K_M · 20 GB at 8K context · ~262 tok/s (est.) |
| Qwen3-Coder 8B | Q4_K_M · 6.8 GB at 8K context · ~173 tok/s (est.) |
At 2 hrs/day, buying (~$8,565) beats renting at $0.77/hr after about 15.4 years.
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FAQ
Qwen3-Coder on the NVIDIA RTX PRO 6000 Blackwell — does it fit?
Yes, comfortably — Qwen3-Coder-Next (80B-A3B MoE) at Q4_K_M needs 51.6 GB at 8K context (48.3 GB weights + 3.3 GB KV cache/overhead), leaving ~44.4 GB of the NVIDIA RTX PRO 6000 Blackwell's 96 GB, at ~235 tok/s (est.), with room for up to 128K context.
Which Qwen3-Coder variant fits best on the NVIDIA RTX PRO 6000 Blackwell?
Qwen3-Coder-Next (80B-A3B MoE) at Q4_K_M quantization needs 51.6 GB at 8K context (48.3 GB weights + 3.3 GB KV cache/overhead), estimated ~235 tokens/sec, up to 128K context.
Every Qwen3-Coder size on the NVIDIA RTX PRO 6000 Blackwell
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Qwen3-Coder 480B-A35B (MoE) | 291.6 GB | Does not fit | — |
| Qwen3-Coder-Next (80B-A3B MoE) | 51.6 GB | Runs | ~235 tok/s |
| Qwen3-Coder 8B | 6.8 GB | Runs | ~173 tok/s |
Qwen3-Coder on Other GPUs
- Qwen3-Coder on Apple M2 Max
- Qwen3-Coder on NVIDIA A100 80GB (PCIe)
- Qwen3-Coder on NVIDIA H100 80GB (PCIe)
Popular Models on the NVIDIA RTX PRO 6000 Blackwell
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