24B that punches at 70B level with much faster generation. 32K context.
chatgeneralreasoningagents · sizes: 24B · Apache-2.0
| machine | best fit | verdict | speed |
|---|---|---|---|
| Apple M1 · 8GB | 24B Q3_K_M | ❌ Won't fit | — |
| Apple M1 Pro · 16GB | 24B Q3_K_M | 🐢 CPU-only (slow) | 1–2 tok/s |
| Apple M2 · 16GB | 24B Q3_K_M | 🐢 CPU-only (slow) | 0.6–1 tok/s |
| Apple M3 Pro · 18GB | 24B Q4_K_M | 🐢 CPU-only (slow) | 0.7–1 tok/s |
| Apple M2 Pro · 32GB | 24B Q5_K_M | ✅ Runs (tight) | 6–11 tok/s |
| Apple M4 Pro · 48GB | 24B Q8_0 | ✅ Runs comfortably | 6–10 tok/s |
| Apple M3 Max · 36GB | 24B Q5_K_M | ✅ Runs (tight) | 11–18 tok/s |
| Apple M2 Max · 64GB | 24B Q8_0 | ✅ Runs comfortably | 8–13 tok/s |
| Apple M4 Max · 128GB | 24B Q8_0 | ✅ Runs comfortably | 9–16 tok/s |
| Apple M2 Ultra · 192GB | 24B Q8_0 | ✅ Runs comfortably | 13–20 tok/s |
| NVIDIA GeForce RTX 3060 · 12GB VRAM | 24B Q4_K_M | ⚠️ Partial GPU offload | 3–5 tok/s |
| NVIDIA GeForce RTX 4070 · 12GB VRAM | 24B Q4_K_M | ⚠️ Partial GPU offload | 5–8 tok/s |
| NVIDIA GeForce RTX 4090 · 24GB VRAM | 24B Q5_K_M | ✅ Runs (tight) | 25–40 tok/s |
| NVIDIA GeForce RTX 5080 · 16GB VRAM | 24B Q3_K_M | ✅ Runs (tight) | 35–55 tok/s |
| NVIDIA GeForce RTX 5090 · 32GB VRAM | 24B Q8_0 | ✅ Runs (tight) | 30–50 tok/s |
| AMD Radeon RX 7900 XTX · 24GB VRAM | 24B Q5_K_M | ✅ Runs (tight) | 20–35 tok/s |
Shopping for a machine? What hardware do I need to run Mistral Small 3? →
Check your exact rig: open the checker →
20 models share Mistral Small 3's KV-cache geometry — they size memory the same way, so a rig that fits one tends to fit its same-size kin.
…and 8 more.
Explore the whole catalog by architecture: open the graph →