Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Not Rec.

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Mar 19, 2026 · Apple M4

Global Score
65 vs 74
Hardware Fit
73 vs 84
Quality Score
62 vs 69

Hardware

qwen3.5:4b liquid/lfm2-24b-a2b
MachineAZW GTR ProMac mini
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM125 GB24 GB
GPUAMD Radeon 8060SApple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:4b liquid/lfm2-24b-a2b
Tokens/sec45.758.9
First chunk180 ms28 ms
TTFT30.0 s481 ms
Load time5.3 sN/A
Memory usage16.2 GB17.5 GB
Memory %13%73%

HW Fit Score Breakdown

qwen3.5:4b

Speed
43/50
TTFT
0/20
Memory
30/30

liquid/lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
14/30

Quality

qwen3.5:4b

Reasoning
17/20
Coding
1/20
Instruction
13/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong

liquid/lfm2-24b-a2b

Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate 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