Back to leaderboard

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

Global Score
80 vs 61
Hardware Fit
95 vs 69
Quality Score
73 vs 58

Hardware

lfm2.5:8b qwen3.5:4b
MachineMacBook ProGigabyte Technology Co., Ltd. H170M-D3H
CPUApple M1 ProIntel Core™ i5-6500
Cores104
RAM16 GB16 GB
GPUApple M1 ProGP104 [GeForce GTX 1070]
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

lfm2.5:8b qwen3.5:4b
Tokens/sec98.535.7
First chunk167 ms438 ms
TTFT2.5 s5.1 s
Load time3.0 s40.1 s
Memory usage6.0 GB5.5 GB
Memory %37%35%

HW Fit Score Breakdown

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

qwen3.5:4b

Speed
50/50
TTFT
11/20
Memory
8/30

Quality

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5:4b

Reasoning
18/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong 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