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qwen3.5:9b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 26, 2026 · Apple M1 Pro

lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
54 vs 68
Hardware Fit
81 vs 100
Quality Score
43 vs 54

Hardware

qwen3.5:9b-mlx lfm2.5-1.2b-instru…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b-mlx lfm2.5-1.2b-instru…
Tokens/sec25.277.3
First chunk341 ms177 ms
TTFT6.3 s177 ms
Load time3.4 sN/A
Memory usage8.4 GB1.2 GB
Memory %52%4%

HW Fit Score Breakdown

qwen3.5:9b-mlx

Speed
50/50
TTFT
7/20
Memory
24/30

lfm2.5-1.2b-instruct-mlx

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

lfm2.5-1.2b-instruct-mlx

Reasoning
10/20
Coding
7/20
Instruction
16/20
Structured
12/15
Math
1/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest