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qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

mlx-community/Llama-3.2-1B-Instruct-4bit

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

Global Score
65 vs 57
Hardware Fit
96 vs 100
Quality Score
51 vs 39

Hardware

qwen3-4b-qwen3.6-p… mlx-community/Llam…
MachineMac StudioMacBook Air
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB32 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-4b-qwen3.6-p… mlx-community/Llam…
Tokens/sec99.6126.4
First chunk18 ms139 ms
TTFT1.6 s139 ms
Load time4.8 sN/A
Memory usage0.3 GB0.3 GB
Memory %0%1%

HW Fit Score Breakdown

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

mlx-community/Llama-3.2…

Speed
50/50
TTFT
20/20
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

mlx-community/Llama-3.2…

Reasoning
5/20
Coding
3/20
Instruction
15/20
Structured
10/15
Math
1/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate

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