qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
qwen2.5vl:7b
OLLAMA GGUFqwen25vl · 8.3B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
Global Score
59 vs 83
Hardware Fit
65 vs 100
Quality Score
57 vs 75
Hardware
qwen3.5-9b-mlx qwen2.5vl:7b
MachineMac miniGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4Intel Core™ i5-14400F
Cores1016
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce RTX 5060 Ti
OSmacOS 26.3Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.5-9b-mlx qwen2.5vl:7b
Tokens/sec14.373.9
First chunk24 ms53 ms
TTFT13.4 s53 ms
Load time13.3 s5.3 s
Memory usage2.5 GB5.1 GB
Memory %10%16%
HW Fit Score Breakdown
qwen3.5-9b-mlx
Speed
32/50
TTFT
3/20
Memory
30/30
qwen2.5vl:7b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-9b-mlx
Reasoning
10/20
Coding
17/20
Instruction
5/20
Structured
9/15
Math
11/15
Multilingual
5/10
Reasoning: Weak Coding: Strong Instruction Following: Weak Structured Output: Adequate Math: Adequate Multilingual: Adequate
qwen2.5vl:7b
Reasoning
16/20
Coding
14/20
Instruction
11/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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