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qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 4bit

Good

Mar 6, 2026 · Apple M4 Pro

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
65 vs 81
Hardware Fit
88 vs 96
Quality Score
55 vs 75

Hardware

qwen3.5-2b-mlx qwen3:8b
MachineMac miniASUS
CPUApple M4 ProIntel Core™ i5-14600KF
Cores1420
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.7.4Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-2b-mlx qwen3:8b
Tokens/sec48.9109.1
First chunk4208 ms190 ms
TTFT4.2 s190 ms
Load timeN/A4.3 s
Memory usage1.6 GB5.6 GB
Memory %3%18%

HW Fit Score Breakdown

qwen3.5-2b-mlx

Speed
50/50
TTFT
8/20
Memory
30/30

qwen3:8b

Speed
50/50
TTFT
20/20
Memory
26/30

Quality

qwen3.5-2b-mlx

Reasoning
10/20
Coding
7/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
8/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3:8b

Reasoning
15/20
Coding
16/20
Instruction
14/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5-2b-mlx details | View qwen3:8b details

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