NVIDIA DGX Spark × Mistral Small 3.1 24B
Can the DGX Spark run Mistral Small 3.1 24B?
Yes, usable
Yes. The DGX Spark can run Mistral Small 3.1 24B at up to F16 (needs ~51.6 GB of 115 GB usable), at an estimated ~15.0 tokens/sec at Q4_K_M.
Speed is estimated from memory bandwidth calibrated with a measured 57.21 tok/s Llama 2 7B Q4_0 result (source). No direct public benchmark of this exact pair is recorded yet.
By quantization (8K context)
| Quant | Memory needed | Fits? | Est. tok/s |
|---|---|---|---|
| Q3_K_M | 14.2 GB | ✅ | ~18.7 |
| Q4_K_M | 17.1 GB | ✅ | ~15.0 |
| Q5_K_M | 19.8 GB | ✅ | ~12.8 |
| Q6_K | 22.5 GB | ✅ | ~11.0 |
| Q8_0 | 28.4 GB | ✅ | ~8.6 |
| F16 | 51.6 GB | ✅ | ~4.6 |
Fastest hardware for Mistral Small 3.1 24B
- NVIDIA GeForce RTX 5090 — ~76.2 tok/s at Q4_K_M
- NVIDIA GeForce RTX 5080 — ~59.5 tok/s at Q3_K_M
- NVIDIA GeForce RTX 5070 Ti — ~57.8 tok/s at Q3_K_M
- NVIDIA GeForce RTX 4090 — ~48.9 tok/s at Q4_K_M
- NVIDIA GeForce RTX 4080 SUPER — ~48.5 tok/s at Q3_K_M
No suitable GPU? Rent one by the hour on Vast.ai or RunPod (affiliate links).
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