Qwen3-Coder-30B-A3B-Instruct
2recorded runs
263.0best tok/s
1verified
What the Qwen3-Coder-30B-A3B-Instruct numbers mean
The fastest verified result on our board is 26.1 output tok/s on an RTX PRO 6000 Blackwell at FP8 with a 32768-token context. That is about 38.4 ms per generated token — 500 tokens takes roughly 19.2 seconds. Across the 2 records we hold for this model the range is 26.1–263.0 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does Qwen3-Coder-30B-A3B-Instruct need?
Qwen3-Coder-30B-A3B-Instruct has 30.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 20.2 GB | 24 GB |
| Q8_0 (8-bit) | 37.5 GB | 48 GB |
| FP16 (16-bit) | 69.8 GB | 96 GB |
Fastest GPUs for this model (best tok/s)
- RTX 5090263.0
- RTX PRO 6000 Blackwell26.1
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| Hy-MT2-30B-A3B | 30B | 16.9 GB |
| Muse-Glimmer-30B | 30B | 16.9 GB |
| Nemotron-3-Nano-Omni-30B-A3B-Reasoning | 30B | 16.9 GB |
| North-Mini-Code-1.0 | 30B | 16.9 GB |
| granite-4.2-30b | 29B | 16.3 GB |
| QUEST-30B-RL-B70-Turbo | 31B | 17.4 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell · 96 GB | Qwen3-Coder-30B-A3B-Instruct | FP8 | vllm 0.26.0 | 32768 | 26.1 ✓ | — | — | src |
| RTX 5090 · 32 GB | Qwen3-Coder-30B-A3B-Instruct | Q6_K | lmstudio — | 2048 | 263.0 … | 1217.8 | — | src |