qwen3-4b-qwen3.6-plus-reasoning-distilled
LM-STUDIO GGUFqwen3 · 4B · Q4_1
Apr 21, 2026 · Apple M2 Max
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
65 vs 60
Hardware Fit
96 vs 80
Quality Score
51 vs 52
Hardware
qwen3-4b-qwen3.6-p… lfm2.5-thinking:1.2b
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M4 Pro
Cores1214
RAM96 GB48 GB
GPUApple M2 MaxApple M4 Pro
OSmacOS 26.1macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3-4b-qwen3.6-p… lfm2.5-thinking:1.2b
Tokens/sec99.6227.0
First chunk18 ms60 ms
TTFT1.6 s30.0 s
Load time4.8 s0.7 s
Memory usage0.3 GB2.6 GB
Memory %0%6%
HW Fit Score Breakdown
qwen3-4b-qwen3.6-plus-r…
Speed
50/50
TTFT
16/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
qwen3-4b-qwen3.6-plus-r…
Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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