Best Local AI Models for Mac Studio

Mac Studio is the workstation for local AI. With massive unified memory configurations and Ultra-class chips, it runs the largest open-weight models — Qwen3.6 35B-A3B, Qwen3.5 27B, and 70B+ parameter LLMs — at speeds fit for daily production use.

Apple M4
CHIP
Apple M4
RAM
64 GB
FEASIBILITY
8 excellent, 0 good, 0 limited
Configure & match

Recommended Models

8 MODELS
01QWEN
Qwen3.6 35B-A3B
Best for: Reasoning, Coding, Agents · Pop 88/100
Runs well

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

SIZE
35B / Q4_K_M
FOOTPRINT
22 GB
SPEED
~22.8 t/s
02QWEN
Qwen3.5 35B-A3B Instruct
Best for: Reasoning, Coding, Agent scenarios · Pop 90/100
Runs well

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

SIZE
35B / Q4_K_M
FOOTPRINT
20 GB
SPEED
~22.8 t/s
03QWEN
Qwen3.5 27B Instruct
Best for: Chat, Coding, Complex reasoning · Pop 82/100
Perfect fit

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

SIZE
27B / Q4_K_M
FOOTPRINT
16 GB
SPEED
~28.8 t/s
04QWEN
Qwen3.6 27B
Best for: Coding, Quality, Long context · Pop 92/100
Runs well

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

SIZE
27B / Q4_K_M
FOOTPRINT
18 GB
SPEED
~28.8 t/s
05GEMMA
Gemma 4 26B-A4B
Best for: Chat, Coding, Multimodal · Pop 86/100
Perfect fit

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

SIZE
26B / Q4_K_M
FOOTPRINT
16 GB
SPEED
~29.8 t/s
06LFM2
LFM2 24B-A2B Instruct
Best for: Local AI agents, privacy-first tool calling, MCP workflows · Pop 80/100
Perfect fit

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

SIZE
24B / Q4_K_M
FOOTPRINT
14 GB
SPEED
~32.1 t/s
07GEMMA
Gemma 4 31B
Best for: Quality, Coding, Multimodal · Pop 84/100
Runs well

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

SIZE
31B / Q4_K_M
FOOTPRINT
20 GB
SPEED
~25.5 t/s
08QWEN
Qwen3 30B
Best for: Quality, Coding · Pop 78/100
Runs well

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

SIZE
30B / Q4_K_M
FOOTPRINT
22 GB
SPEED
~26.2 t/s

Where to Buy for Local AI

best configs
Sweet spot
Mac Studio M4 Max · 128GB

Comfortably runs 70B models at usable speed — the value pick for serious local AI.

Frontier
Mac Studio M3 Ultra · 256GB+

Headroom for the largest open-weight models (Llama 4 Scout, big MoE) at home.

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FAQ

Frequently Asked Questions

What is the best AI model for Mac Studio?

Mac Studio is the workstation for local AI. With massive unified memory configurations and Ultra-class chips, it runs the largest open-weight models — Qwen3.6 35B-A3B, Qwen3.5 27B, and 70B+ parameter LLMs — at speeds fit for daily production use. On the default Apple M4 with 64GB RAM, Qwen3.6 35B-A3B is our top pick — this configuration handles 30B-70B parameter models well.

What size models fit on Mac Studio?

With 64GB unified memory, Mac Studio comfortably runs 30B-70B models. Strong picks include Qwen3.6 35B-A3B, Qwen3.5 35B-A3B Instruct, Qwen3.5 27B Instruct. Use the ModelFit wizard to match your exact RAM and chip.

How fast is local AI on Mac Studio?

Expect an estimated 22.8 tokens per second on the Apple M4 with optimized, quantized models. The Mac Studio M4 delivers the latest Neural Engine improvements with excellent performance per watt. With up to 128GB RAM, it handles 70B models and MoE releases like Qwen3.6 35B-A3B with the fastest inference speeds in the Mac Studio lineup. (Speeds are ModelFit estimates, not measured benchmarks, and vary with model size and quantization.)

Want to Customize Your Configuration?

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