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lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M1 Max

Global Score
18 vs 53
Hardware Fit
59 vs 72
Quality Score
0 vs 45

Hardware

lfm2-24b-a2b qwen3.5:9b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Max
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M1 Max
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lfm2-24b-a2b qwen3.5:9b
Tokens/sec6.618.6
First chunk1025 ms403 ms
TTFT1.0 s10.2 s
Load timeN/A4.3 s
Memory usage0.0 GB9.1 GB
Memory %0%28%

HW Fit Score Breakdown

lfm2-24b-a2b

Speed
9/50
TTFT
20/20
Memory
30/30

qwen3.5:9b

Speed
38/50
TTFT
4/20
Memory
30/30

Quality

lfm2-24b-a2b

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

qwen3.5:9b

Reasoning
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Adequate Multilingual: Strong
View lfm2-24b-a2b details | View qwen3.5:9b 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