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qwen3.5:latest

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Not Rec.

Mar 8, 2026 · Apple M4

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

Global Score
34 vs 78
Hardware Fit
58 vs 100
Quality Score
23 vs 68

Hardware

qwen3.5:latest lfm2-24b-a2b
MachineMac miniMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM16 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:latest lfm2-24b-a2b
Tokens/sec13.3105.9
First chunk438 ms252 ms
TTFT19.8 s252 ms
Load time0.2 sN/A
Memory usage8.0 GB0.1 GB
Memory %50%0%

HW Fit Score Breakdown

qwen3.5:latest

Speed
32/50
TTFT
1/20
Memory
25/30

lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

qwen3.5:latest

Reasoning
6/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:latest details | View lfm2-24b-a2b details

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