Back to leaderboard

qwen3:4b

OLLAMA GGUF

qwen3 · 4.0B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-A78AE

lfm2:24b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Excellent

Mar 7, 2026 · AMD RYZEN AI MAX+ 395

Global Score
32 vs 88
Hardware Fit
98 vs 100
Quality Score
4 vs 83

Hardware

qwen3:4b lfm2:24b
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperAZW GTR Pro
CPUCortex-A78AEAMD RYZEN AI MAX+ 395
Cores632
RAM7 GB125 GB
GPUIntegrated / UnknownRadeon 8060S
OSUbuntu 22.04.5 LTSUbuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3:4b lfm2:24b
Tokens/sec17.985.3
First chunk950 ms123 ms
TTFT950 ms123 ms
Load time9.7 s2.9 s
Memory usage3.0 GB14.3 GB
Memory %40%12%

HW Fit Score Breakdown

qwen3:4b

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

lfm2:24b

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

Quality

qwen3:4b

Reasoning
4/20
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

lfm2:24b

Reasoning
14/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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