liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Apr 1, 2026 · Apple M4
qwen3-coder:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Jun 19, 2026 · Apple M4 Max
Global Score
74 vs 89
Hardware Fit
84 vs 96
Quality Score
69 vs 86
Hardware
liquid/lfm2-24b-a2b qwen3-coder:30b
MachineMac miniMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM24 GB64 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.1
Archarm64arm64
Power Modebalancedbalanced
Performance
liquid/lfm2-24b-a2b qwen3-coder:30b
Tokens/sec51.889.9
First chunk10 ms188 ms
TTFT503 ms188 ms
Load timeN/A4.0 s
Memory usage17.5 GB30.2 GB
Memory %73%47%
HW Fit Score Breakdown
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
qwen3-coder:30b
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
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
qwen3-coder:30b
Reasoning
14/20
Coding
19/20
Instruction
17/20
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest