Can Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB run Mistral Small 3.2 (24B)?
32 GB unified · 136 GB/s memory bandwidth · Mistral Small 3.2 (24B) has 24B parameters.
Short answer
Yes, acceptable for chat; not recommended for coding in a repository.
Best quantization for chat: Q3_K_M (11 GB of weights) on LM Studio. Generation: 4.3–7 tok/s, leaving about 10.0 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Acceptable | Q3_K_M | 4.3–7 tok/s | ≈15 s | 8K | Details |
| Coding questionswith Continue | Borderline | Q6_K | 2.6–4.3 tok/s | ≈2 min | 16K | Details |
| Coding in a repositorywith Aider | Technically Runs | Q4_K_M | 3.1–5 tok/s | ≈5 min | 32K | Details |
| Agentic codingwith OpenCode | Technically Runs | Q4_K_M | 3–4.9 tok/s | ≈8 min | 32K | Details |
| Long documents (64K)with Open WebUI | Technically Runs | Q3_K_M | 2.6–4.4 tok/s | ≈33 min | 64K | Details |
Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q3_K_M build with a 8K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506-GGUF:Q3_K_M
Downloads 11.47 GB (Q3_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=8192 before `ollama serve` for long prompts.
Other models for Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB
The best-rated models for chat on this machine.
- LFM2.5 24B-A2B30–50 tok/sExcellent
- gpt-oss-20b18–30 tok/sExcellent
- Gemma 4 26B-A4B15–25 tok/sExcellent
- Qwen3.6 35B-A3B25–45 tok/sExcellent
- Qwen3.5 35B-A3B25–45 tok/sExcellent
- MiniCPM5 2B19–30 tok/sExcellent
Cheapest machines for Mistral Small 3.2 (24B)
Hardware rated comfortable or better for chat, lowest price first.
- Mac mini M4 Pro 24 GB$1,399 · 12–16 tok/sComfortable
- Desktop PC · Intel Arc Pro B60 24GB · 32 GB RAM$1,500 · 10–17 tok/sComfortable
- Desktop PC · Radeon RX 7900 XT · 32 GB RAM$1,550 · 30–45 tok/sExcellent
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 64 GB$1,600 · 11–15 tok/sComfortable
- Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM$1,628 · 10–17 tok/sComfortable
- Mac mini M5 Pro 24 GB$1,699 · 11–18 tok/sComfortable
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.