qwen3.6:35b-a3b-coding-nvfp4
OLLAMA GGUFnvfp4
May 25, 2026 · Apple M4 Pro
mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
76 vs 77
Hardware Fit
77 vs 100
Quality Score
76 vs 67
Hardware
qwen3.6:35b-a3b-co… mlx-community/meta…
MachineMacBook ProMac mini
CPUApple M4 ProApple M4 Pro
Cores1414
RAM48 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 26.4.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6:35b-a3b-co… mlx-community/meta…
Tokens/sec72.754.3
First chunk147 ms277 ms
TTFT30.0 s277 ms
Load time5.7 sN/A
Memory usage19.6 GB4.2 GB
Memory %41%7%
HW Fit Score Breakdown
qwen3.6:35b-a3b-coding-…
Speed
50/50
TTFT
0/20
Memory
27/30
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.6:35b-a3b-coding-…
Reasoning
19/20
Coding
9/20
Instruction
13/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest