ModelsBuildsConfigureGuidesMachinesMy Rig
Build My Rig
Build My Rig
Compat
  1. Home
  2. /Models
  3. /Qwen3.6-35B-A3B
  4. /on Apple M4 Max (64GB Unified)
Apple M4 Max (64GB Unified)
QwenQwen
Compatibility Report

Qwen3.6-35B-A3B on Apple M4 Max (64GB Unified)

M4 Max (64GB Unified) runs Qwen3.6-35B-A3B at Q5_K_M — 14 tok/s. Usable on 64 GB VRAM — see full quantization options below.

Model Size

35B

Device VRAM

64 GB

Bandwidth

546 GB/s

Quantization

Q5_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Qwen3.6-35B-A3B on Apple M4 Max (64GB Unified) at Q5_K_M. This is the best supported pairing we can stand behind today.

QuantizationSpeedTTFTFits in VRAMRatingConfidence
Q5_K_M14 tok/s804ms✓ YesAcceptableestimated

Notes

Q5_K_M

Qwen 3.6-35B-A3B MoE (~3B active). Q5_K_M on 64GB m4-max-64gb.

About Qwen3.6-35B-A3B

Qwen3.6-35B-A3B (35B) is a chat, coding, ai coding, reasoning, multi-purpose model. MoE with 35B total parameters and ~3B active per token. Local stacks still load the full expert pool, so VRAM tracks total size. Q4_K_M needs ~22GB at practical context (RTX 4090 / 24GB class sweet spot). Q3_K_M (~16GB) fits 16GB cards at default context with minimal KV headroom; long 262K runs need KV cache quantization. 8GB cards cannot run this model without heavy CPU offload. Apache 2.0.

View all Qwen3.6-35B-A3B hardware options →

About Apple M4 Max (64GB Unified)

Apple M4 Max (64GB Unified) has 64 GB at 546 GB/s. Available in MacBook Pro 16", Mac Studio.

See all models Apple M4 Max (64GB Unified) can run →

Estimate method: Estimated from Unsloth GGUF sizes; best quant that fits device VRAM. Reference hardware source: huggingface.co (2026-05-26)

Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.

Build it locally. We'll sort the hardware.

ModelsGPUsBuildsMachinesWorkflowsRecommendConfigureCompareGuidesAboutOpen Data
Dark mode active

New models and GPUs, straight to your inbox

Hardware updates only. Unsubscribe anytime. Privacy

Ask AI for a summary about OwnRig

Trademark Notice: NVIDIA, GeForce, and RTX are trademarks of NVIDIA Corporation. AMD and Radeon are trademarks of Advanced Micro Devices, Inc. Apple, Mac, and Apple Silicon are trademarks of Apple Inc. All other product names, logos, and brands are property of their respective owners. AI model names (Llama, Gemma, Mistral, Qwen, etc.) are trademarks of their respective creators. Use of these names and logos is for identification purposes only and does not imply endorsement.

Independence & Affiliates: OwnRig is an independent resource. We are not affiliated with, endorsed by, or sponsored by any hardware manufacturer, AI model provider, or retailer. Our recommendations are based on technical merit and community benchmarks. Some links on this site are affiliate links. If you purchase through them, we may earn a small commission at no extra cost to you. This does not influence our recommendations.

Data Accuracy: Performance figures are estimates based on community benchmarks and may vary by configuration, driver version, and software. Prices are approximate US retail as of March 2026 and may vary by retailer and region. VRAM requirements are calculated from model parameters with overhead estimates. Always verify specifications with manufacturer documentation before purchasing.

© 2026 OwnRig. All rights reserved.

Privacy