HomeCan I run it?Mistral Small 24BMistral Small 24B on an RTX 3090
Yes. Mistral Small 24B at Q4_K_M needs about 17.7 GB, and the GeForce RTX 3090 has 24.0 GB usable at a ~4k context.
Can I run Mistral Small 24B on an RTX 3090?
Mistral Small 24B at Q4_K_M needs about 17.7 GB, and the GeForce RTX 3090 has 24.0 GB usable. That figure is 24 GB of VRAM on the spec sheet, of which 24.0 GB is usable for weights and cache, at 936 GB/s memory bandwidth. Mistral’s 24B Small instruct model, a dense mid-size alternative to the 27B–32B class. These are estimates from our formula, not measured benchmarks.
- Quant that fits
- Q4_K_M Fits with headroom
- Memory needed
- 17.7 GB at Q4_K_M, ~4k context
- Usable VRAM
- 24.0 GB of 24 GB VRAM
- Est. tokens/sec
- 39–55 estimate
Memory at each quant
| Quant | Need vs 24.0 GB | Verdict |
|---|---|---|
| Q4_K_M | 17.7 GB | Q4Fits |
| Q8_0 | 30.3 GB | Q8Won’t fit |
| FP16 | 56.2 GB | FP16Won’t fit |
Estimated tokens per second
Estimate: 39–55 tokens/sec at Q4_K_M. This is a bandwidth-derived range, not a bench. Efficiency is a 60–85% GPU band from How we calculate.
Context headroom
At Q4_K_M, this machine has headroom out to about 32k tokens under our KV estimate. Longer chats need more memory for the cache. Figures assume an FP16 KV cache.
| Context | KV cache (FP16) | Total at Q4_K_M | Verdict |
|---|---|---|---|
| 4k | 0.7 GB | 17.7 GB | Fits |
| 8k | 1.3 GB | 18.4 GB | Fits |
| 16k | 2.7 GB | 19.8 GB | Fits |
| 32k | 5.4 GB | 22.4 GB | Tight |
| 64k | 10.7 GB | 27.8 GB | Won’t fit |
| 128k | 21.5 GB | 38.5 GB | Won’t fit |
What to do instead
- Q8_0 needs 30.3 GB and does not fit here. The GeForce RTX 5090 has 32.0 GB usable, enough for Q8.
- Full hardware list: Mistral-Small-3.2-24B-Instruct-2506. Specs for this machine: GeForce RTX 3090.
Other hardware for Mistral Small 24B
- Mistral Small 24B on an RTX 3060 12GBWon’t fit
- Mistral Small 24B on an RTX 3070 TiWon’t fit
- Mistral Small 24B on an RTX 3080Won’t fit
- Mistral Small 24B on an RTX 4060 Ti 16GBWon’t fit
- Mistral Small 24B on an RTX 4070 Ti SuperWon’t fit
- Mistral Small 24B on an RTX 4090Fits
Other models on an RTX 3090
- Qwen3-32B on an RTX 3090Tight
- Qwen3-30B-A3B on an RTX 3090Tight
- Qwen3.8-27B on an RTX 3090Fits
- Gemma 3 27B on an RTX 3090Fits
- Gemma 4 31B on an RTX 3090Tight
- gpt-oss-20b on an RTX 3090Fits
Quick answers
- Can I run Mistral Small 24B on an RTX 3090?
- Yes. Mistral Small 24B at Q4_K_M needs about 17.7 GB, and the GeForce RTX 3090 has 24.0 GB usable.
- How much VRAM does Mistral Small 24B need?
- About 17.7 GB at Q4_K_M, 30.3 GB at Q8_0 and 56.2 GB at FP16, estimated for a ~4k context.
- How fast is Mistral Small 24B on an RTX 3090?
- Our estimate is 39–55 tokens per second at Q4_K_M. It is not a measured benchmark.
- What context length can I use?
- At Q4_K_M, our KV estimate supports up to about 32k tokens before the cache pushes the total over usable memory.