Back to leaderboard

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Apr 1, 2026 · Apple M4

Global Score
78 vs 4
Hardware Fit
100 vs 13
Quality Score
68 vs 0

Hardware

lfm2-24b-a2b qwen3.5:27b
MachineMac miniMac mini
CPUApple M4 ProApple M4
Cores1410
RAM64 GB24 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b qwen3.5:27b
Tokens/sec105.93.5
First chunk252 ms1781 ms
TTFT252 ms52.0 s
Load timeN/A13.4 s
Memory usage0.1 GB21.3 GB
Memory %0%89%

HW Fit Score Breakdown

lfm2-24b-a2b

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

qwen3.5:27b

Speed
7/50
TTFT
0/20
Memory
6/30

Quality

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

qwen3.5:27b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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