Can MacBook Pro M5 32 GB run DeepSeek-V4.1-Flash (748B-A16B)?
32 GB unified · 153 GB/s memory bandwidth · DeepSeek-V4.1-Flash (748B-A16B) has 748B parameters (16B active per token).
Short answer
No. It doesn't fit in memory.
Needs ≈397 GB but only ≈25 GB is available after the OS, other apps and Open WebUI.
Why it doesn’t fit
Even its smallest practical version (4-bit) needs about 397 GB for the model, its context memory and the runtime. After macOS (≈3.5 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), MacBook Pro M5 32 GB has about 25 GB left, so it’s 372 GB short.
Ways to make it work
Close everything else
Not enough on its own: with every other app closed it’s still about 369 GB short.
Pick a smaller model from the same family
No smaller DeepSeek-V4 model in our catalog runs well here. See the other models below.
Get more memory
You’d want at least 404 GB of memory in total. The machines below are the cheapest that run it comfortably.
Check your exact setup
These pages assume typical settings. A shorter context or a lighter chat app can change the answer.
Check MacBook Pro M5 32 GB
The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.
Other models for MacBook Pro M5 32 GB
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B30–55 tok/sExcellent
- LFM2.5 24B-A2B45–75 tok/sExcellent
- Gemma 4 26B-A4B25–45 tok/sExcellent
- gpt-oss-20b25–45 tok/sExcellent
- Qwen3.5 35B-A3B30–55 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)30–50 tok/sExcellent
Cheapest machines for DeepSeek-V4.1-Flash (748B-A16B)
Hardware rated comfortable or better for chat, lowest price first.
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.