Qwen3-0.6B
2recorded runs
956.4best tok/s
2verified
What the Qwen3-0.6B numbers mean
The fastest verified result on our board is 956.4 output tok/s on an RTX PRO 6000 Blackwell at Q4_K_M with a 640-token context. That is about 1.0 ms per generated token — 500 tokens takes roughly 0.5 seconds. Prompt processing on the same record runs at 57064.9 tok/s, so a 2,000-token prompt is read in about 0.0 seconds. Peak VRAM was measured at 1.1 GB. Across the 2 records we hold for this model the range is 310.4–956.4 tok/s on 2 GPUs, because quantisation, context length and the engine build all move the number.
How much VRAM does Qwen3-0.6B need?
Qwen3-0.6B has 1.0B 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) | 1.4 GB | 8 GB |
| Q8_0 (8-bit) | 2.0 GB | 8 GB |
| FP16 (16-bit) | 3.1 GB | 8 GB |
Fastest GPUs for this model (best tok/s)
- RTX PRO 6000 Blackwell956.4
- RTX 3060310.4
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| gemma-3-1b-it | 1B | 0.6 GB |
| LFM2.5-1.2B-Instruct | 1B | 0.6 GB |
| Llama-3.2-1B-Instruct | 1B | 0.6 GB |
| MiniCPM5-1B | 1B | 0.6 GB |
| Qwen3.5-0.8B | 800M | 0.5 GB |
| Qwen3.5-0.8B-MTP | 800M | 0.5 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX PRO 6000 Blackwell · 96 GB | Qwen3-0.6B | Q4_K_M | llama.cpp 876a432 | 640 | 956.4 ✓ | 57064.9 | 1.1 | src |
| RTX 3060 · 12 GB | Qwen3-0.6B | Q8_0 | llama.cpp b9775 / 7529fdaaf | 4608 | 310.4 ✓ | 13631.6 | 2.8 | src |