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liquid/lfm2-24b-a2b

LM-STUDIO MLX

lfm2_moe · 24B · 4bit

Good

Apr 1, 2026 · Apple M4

ornith-1.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
74 vs 69
Hardware Fit
84 vs 95
Quality Score
69 vs 58

Hardware

liquid/lfm2-24b-a2b ornith-1.5:9b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

liquid/lfm2-24b-a2b ornith-1.5:9b
Tokens/sec51.822.2
First chunk10 ms341 ms
TTFT503 ms341 ms
Load timeN/A4.8 s
Memory usage17.5 GB7.1 GB
Memory %73%45%

HW Fit Score Breakdown

liquid/lfm2-24b-a2b

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

ornith-1.5:9b

Speed
49/50
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

ornith-1.5:9b

Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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