Can I Run Mistral Small 3.1 on NVIDIA GeForce RTX 4070 Ti Super?
作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, but it's tight — Mistral Small 3.1 24B at Q4_K_M needs 14.2 GB of the NVIDIA GeForce RTX 4070 Ti Super's 16 GB, leaving only ~1.8 GB, ~38 tok/s (est.) with room for up to 4K context.
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NVIDIA GeForce RTX 4070 Ti Super Specs
| VRAM | 16 GB |
| Memory Bandwidth | 672 GB/s |
Mistral Small 3.1 24B on the NVIDIA GeForce RTX 4070 Ti Super: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 48.7 GB | ✗ No | — | — |
| Q8_0 | 26.5 GB | ✗ No | — | Build for this |
| Q6_K | 20.8 GB | ✗ No | — | — |
| Q5_K_M | 18.2 GB | ✗ No | — | — |
| Q4_K_M | 15.7 GB | ✓ Yes | 4K | Build for this |
| Q3_K_M | 11.5 GB | ✓ Yes | 16K | — |
| Q2_K | 9.2 GB | ✓ Yes | 32K | — |
Assumes a 4K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 16 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4070 Ti Super: 8K 16.4 GB ✗ · 32K 20.4 GB ✗ · 125K 36 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Mistral Small 3.1 24B on 16 GB of system RAM, CPU only: runs, but it is tight.
Mistral Small 3.1 Sizes That Fit the NVIDIA GeForce RTX 4070 Ti Super
| Mistral Small 3.1 24B | Q4_K_M · 14.2 GB · ~38 tok/s (est.) |
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run Mistral Small 3.1 on the NVIDIA GeForce RTX 4070 Ti Super?
Yes, but it's tight — Mistral Small 3.1 24B at Q4_K_M needs 14.2 GB of the NVIDIA GeForce RTX 4070 Ti Super's 16 GB, leaving only ~1.8 GB, ~38 tok/s (est.) with room for up to 4K context.
What's the best Mistral Small 3.1 size for the NVIDIA GeForce RTX 4070 Ti Super?
Mistral Small 3.1 24B at Q4_K_M quantization (14.2 GB), estimated ~38 tokens/sec, up to 4K context.
Mistral Small 3.1 on Other GPUs
- Mistral Small 3.1 on NVIDIA GeForce RTX 5080
- Mistral Small 3.1 on NVIDIA GeForce RTX 5070 Ti
- Mistral Small 3.1 on NVIDIA GeForce RTX 5060 Ti 16GB
- Mistral Small 3.1 on NVIDIA GeForce RTX 4080 Super
- Mistral Small 3.1 on NVIDIA GeForce RTX 4080
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VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | Mistral Small 3.1 Model Page | NVIDIA GeForce RTX 4070 Ti Super GPU Page | Check Your Hardware