...Mac Studio

Best Chat Models for Mac Studio

Mac Studio with Apple M4 and 64GB RAM can dedicate about 45GB to AI inference. For chat tasks, Qwen3.5 35B-A3B Instruct is the top pick — it fits comfortably in memory and delivers strong chat performance. Below are all chat models ranked for your hardware.

Hardware Configuration
Device
Mac Studio
Chip
Apple M4
RAM
64 GB
AI Budget
45 GB

Top Chat Models for Mac Studio

8 models
01

Qwen3.5 35B-A3B Instruct

Qwen / 35B / Q4_K_M / ~20 GB

Best for: Reasoning, Coding, Agent scenarios·Pop: 90/100

Perf: ~22.8 tok/s · first token ~1.7s

Local OK/~OK

Best for reasoning, coding, agent scenarios. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run qwen3.5:35b-a3b-instruct-q4_K_M
02

Qwen3.5 27B Instruct

Qwen / 27B / Q4_K_M / ~16 GB

Best for: Chat, Coding, Complex reasoning·Pop: 82/100

Perf: ~28.8 tok/s · first token ~0.8s

Local OK//Excellent

Best for chat, coding, complex reasoning. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run qwen3.5:27b-instruct-q4_K_M
03

Qwen3.5 Flash

Qwen / 35B / Q4_K_M / ~22 GB

Best for: Production, Long context, Agent scenarios·Pop: 85/100

Perf: ~22.8 tok/s · first token ~1.7s

Local OK/~OK

Best for production, long context, agent scenarios. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run qwen3.5:flash-q4_K_M
04

LFM2 24B-A2B Instruct

LFM2 / 24B / Q4_K_M / ~14 GB

Best for: Local AI agents, privacy-first tool calling, MCP workflows·Pop: 80/100

Perf: ~32.1 tok/s · first token ~0.8s

Local OK//Excellent

Best for local ai agents, privacy-first tool calling, mcp workflows. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run liquidai/lfm2:24b-a2b-instruct-q4_K_M
05

Mistral Small 3.1

Mistral / 24B / Q4_K_M / ~15 GB

Best for: Chat, Coding·Pop: 70/100

Perf: ~32.1 tok/s · first token ~0.8s

Local OK//Excellent

Best for chat, coding. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run mistral-small3.1:24b-instruct-q4_K_M
06

Qwen3.5 9B Instruct

Qwen / 9B / Q4_K_M / ~7 GB

Best for: Quality, Coding, Reasoning·Pop: 86/100

Perf: ~77.5 tok/s · first token ~0.6s

Local OK//Excellent

Best for quality, coding, reasoning. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run qwen3.5:9b-instruct-q4_K_M
07

Gemma 2 9B Instruct

Gemma / 9B / Q4_K_M / ~7 GB

Best for: Chat, Coding·Pop: 81/100

Perf: ~77.5 tok/s · first token ~0.6s

Local OK//Excellent

Best for chat, coding. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run gemma2:9b-instruct-q4_K_M
08

Qwen2.5 14B Instruct

Qwen / 14B / Q4_K_M / ~11 GB

Best for: Coding, Chat·Pop: 80/100

Perf: ~52.1 tok/s · first token ~0.6s

Local OK//Excellent

Best for coding, chat. Strong fit for 64 GB RAM with balanced speed and quality.

ollama
ollama run qwen2.5:14b-instruct-q4_K_M

Chat on Other Devices

Other Use Cases for Mac Studio

Frequently Asked Questions

What is the best chat model for Mac Studio?+
With 64GB RAM, Qwen3.5 35B-A3B Instruct is the best chat model for Mac Studio. It fits within the 45GB memory budget and delivers the highest quality for chat tasks. Run it with: ollama run qwen3.5:35b-a3b-instruct-q4_K_M
How many chat models can run on Mac Studio?+
33 chat models fit within Mac Studio's 64GB RAM. Models range from lightweight 1.5B options to larger 0.36B models depending on how much memory you want to dedicate.
Can I run chat AI offline on Mac Studio?+
Yes. All Ollama models run completely offline on Mac Studio. Download the model once, then use it anywhere without internet. This is ideal for chat tasks that involve sensitive or proprietary content.
What is the fastest chat model for Mac Studio?+
Llama 3.2 3B Instruct is the fastest chat model for Mac Studio, generating 40-80+ tokens per second. For better quality at reasonable speed, Qwen3.5 35B-A3B Instruct generates 15-30 tokens per second on this hardware.

Need a Custom Configuration?

Use the ModelFit wizard to test different RAM and chip configurations for your exact Mac Studio setup.

Open ModelFit Wizard →