Back to leaderboard

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
18 vs 72
Hardware Fit
59 vs 89
Quality Score
0 vs 64

Hardware

lfm2-24b-a2b qwen3-vl:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M4 ProIntel Xeon® Gold 6230
Cores1480
RAM64 GB252 GB
GPUApple M4 ProTU104GL [Quadro RTX 5000]
OSmacOS 15.7.4Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

lfm2-24b-a2b qwen3-vl:8b
Tokens/sec6.668.2
First chunk1025 ms285 ms
TTFT1.0 s2.0 s
Load timeN/A42.4 s
Memory usage0.0 GB7.1 GB
Memory %0%3%

HW Fit Score Breakdown

lfm2-24b-a2b

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

qwen3-vl:8b

Speed
50/50
TTFT
9/20
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-vl:8b

Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
View lfm2-24b-a2b details | View qwen3-vl:8b 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