lfm2.5-1.2b-instruct-mlx
LM-STUDIO MLXlfm2 · 1.2B · 8bit
Mar 4, 2026 · Apple M4
qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
Global Score
68 vs 66
Hardware Fit
100 vs 91
Quality Score
54 vs 55
Hardware
lfm2.5-1.2b-instru… qwen3.8-27b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
lfm2.5-1.2b-instru… qwen3.8-27b-mlx
Tokens/sec77.333.2
First chunk177 ms7 ms
TTFT177 ms311 ms
Load timeN/AN/A
Memory usage1.2 GB0.5 GB
Memory %4%1%
HW Fit Score Breakdown
lfm2.5-1.2b-instruct-mlx
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
Quality
lfm2.5-1.2b-instruct-mlx
Reasoning
10/20
Coding
7/20
Instruction
16/20
Structured
12/15
Math
1/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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