Qwen3-4B-Thinking-2507
1recorded run
219.7best tok/s
0verified
What the Qwen3-4B-Thinking-2507 numbers mean
The fastest result on our board is 219.7 output tok/s on an RTX 5090 at Q8_0 with a 2048-token context. That is about 4.6 ms per generated token — 500 tokens takes roughly 2.3 seconds. Prompt processing on the same record runs at 1053.7 tok/s, so a 2,000-token prompt is read in about 1.9 seconds.
How much VRAM does Qwen3-4B-Thinking-2507 need?
Qwen3-4B-Thinking-2507 has 4.0B 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) | 3.4 GB | 8 GB |
| Q8_0 (8-bit) | 5.7 GB | 8 GB |
| FP16 (16-bit) | 10.0 GB | 12 GB |
Fastest GPUs for this model (best tok/s)
- RTX 5090219.7
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| gemma-3n-E4B-it-text | 4B | 2.2 GB |
| NVIDIA-Nemotron-3-Nano-4B | 4B | 2.2 GB |
| Phi-4-mini-reasoning | 4B | 2.2 GB |
| Qwen3-4B | 4B | 2.2 GB |
| Qwen3.5-4B | 4B | 2.2 GB |
| Qwen3.5-4B-MTP | 4B | 2.2 GB |