mistralai_Mistral-Small-3.2-24B-Instruct-2506
1recorded run
21.8best tok/s
1verified
What the mistralai_Mistral-Small-3.2-24B-Instruct-2506 numbers mean
The fastest verified result on our board is 21.8 output tok/s on an RTX 3060 x2 at Q4_K_M with a 65536-token context. That is about 46.0 ms per generated token — 500 tokens takes roughly 23.0 seconds. Prompt processing on the same record runs at 586.5 tok/s, so a 2,000-token prompt is read in about 3.4 seconds. Peak VRAM was measured at 17.4 GB.
How much VRAM does mistralai_Mistral-Small-3.2-24B-Instruct-2506 need?
mistralai_Mistral-Small-3.2-24B-Instruct-2506 has 24.0B 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) | 16.3 GB | 24 GB |
| Q8_0 (8-bit) | 30.1 GB | 48 GB |
| FP16 (16-bit) | 56.0 GB | 80 GB |
Fastest GPUs for this model (best tok/s)
- RTX 3060 x221.8
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| DeepHermes-3-Mistral-24B-Preview | 24B | 13.5 GB |
| LFM2-24B-A2B | 24B | 13.5 GB |
| Trinity-Mini | 26B | 14.6 GB |
| gemma-4-26B-A4B-it | 27B | 15.2 GB |
| gemma-4-26B-A4B-it-qat | 27B | 15.2 GB |
| gemma-4-26B-A4B-it-ultra-uncensored-heretic | 27B | 15.2 GB |
| GPU | Model | Quant | Backend | Ctx | tok/s | prompt tok/s | VRAM GB | Source |
|---|---|---|---|---|---|---|---|---|
| RTX 3060 x2 · 12 GB | mistralai_Mistral-Small-3.2-24B-Instruct-2506 | Q4_K_M | llama.cpp b10443 | 65536 | 21.8 ✓ | 586.5 | 17.4 | src |