Back to leaderboard

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Jun 17, 2026 · ZHAOXIN KaiXian KX-7000 KaiXian KX-7000

liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Apr 1, 2026 · Apple M4

Global Score
65 vs 74
Hardware Fit
87 vs 84
Quality Score
56 vs 69

Hardware

qwen2.5:1.5b liquid/lfm2-24b-a2b
MachineShanghai Zhaoxin Semiconductor Co., Ltd. ZXE CRBMac mini
CPUZHAOXIN KaiXian KX-7000 KaiXian KX-7000Apple M4
Cores810
RAM30 GB24 GB
GPUZX C-1190Apple M4
OSMicrosoft Windows 11 Pro 10.0.26100macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b liquid/lfm2-24b-a2b
Tokens/sec16.851.8
First chunk941 ms10 ms
TTFT941 ms503 ms
Load time0.2 sN/A
Memory usage1.0 GB17.5 GB
Memory %3%73%

HW Fit Score Breakdown

qwen2.5:1.5b

Speed
37/50
TTFT
20/20
Memory
30/30

liquid/lfm2-24b-a2b

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

Quality

qwen2.5:1.5b

Reasoning
8/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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