Mistral's 22B code model with strong fill-in-the-middle. 32K context.
codingagents · sizes: 22B · Mistral AI Non-Production
| machine | best fit | verdict | speed |
|---|---|---|---|
| Apple M1 · 8GB | 22B Q3_K_M | ❌ Won't fit | — |
| Apple M1 Pro · 16GB | 22B Q3_K_M | 🐢 CPU-only (slow) | 1–2 tok/s |
| Apple M2 · 16GB | 22B Q3_K_M | 🐢 CPU-only (slow) | 0.6–1 tok/s |
| Apple M3 Pro · 18GB | 22B Q4_K_M | 🐢 CPU-only (slow) | 0.7–1 tok/s |
| Apple M2 Pro · 32GB | 22B Q5_K_M | ✅ Runs (tight) | 6–10 tok/s |
| Apple M4 Pro · 48GB | 22B Q8_0 | ✅ Runs comfortably | 6–9 tok/s |
| Apple M3 Max · 36GB | 22B Q5_K_M | ✅ Runs (tight) | 10–17 tok/s |
| Apple M2 Max · 64GB | 22B Q8_0 | ✅ Runs comfortably | 7–12 tok/s |
| Apple M4 Max · 128GB | 22B Q8_0 | ✅ Runs comfortably | 9–16 tok/s |
| Apple M2 Ultra · 192GB | 22B Q8_0 | ✅ Runs comfortably | 10–16 tok/s |
| NVIDIA GeForce RTX 3060 · 12GB VRAM | 22B Q4_K_M | ⚠️ Partial GPU offload | 3–5 tok/s |
| NVIDIA GeForce RTX 4070 · 12GB VRAM | 22B Q4_K_M | ⚠️ Partial GPU offload | 4–7 tok/s |
| NVIDIA GeForce RTX 4090 · 24GB VRAM | 22B Q5_K_M | ✅ Runs comfortably | 25–40 tok/s |
| NVIDIA GeForce RTX 5080 · 16GB VRAM | 22B Q3_K_M | ✅ Runs (tight) | 30–50 tok/s |
| NVIDIA GeForce RTX 5090 · 32GB VRAM | 22B Q8_0 | ✅ Runs (tight) | 30–50 tok/s |
| AMD Radeon RX 7900 XTX · 24GB VRAM | 22B Q5_K_M | ✅ Runs comfortably | 20–35 tok/s |
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