qwen3.5:9b-mlx
OLLAMA GGUFnvfp4
Aug 26, 2026 · Apple M1 Pro
mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
Global Score
54 vs 77
Hardware Fit
81 vs 100
Quality Score
43 vs 67
Hardware
qwen3.5:9b-mlx mlx-community/meta…
MachineMacBook ProMac mini
CPUApple M1 ProApple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M1 ProApple M4 Pro
OSmacOS 26.6.2macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b-mlx mlx-community/meta…
Tokens/sec25.254.3
First chunk341 ms277 ms
TTFT6.3 s277 ms
Load time3.4 sN/A
Memory usage8.4 GB4.2 GB
Memory %52%7%
HW Fit Score Breakdown
qwen3.5:9b-mlx
Speed
50/50
TTFT
7/20
Memory
24/30
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:9b-mlx
Reasoning
14/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
9/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate 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