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qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

qwen2.5-coder:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
72 vs 82
Hardware Fit
89 vs 100
Quality Score
65 vs 74

Hardware

qwen3.5-9b qwen2.5-coder:7b
MachineMac miniGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUApple M4 ProIntel Core™ i5-14400F
Cores1416
RAM64 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 5060 Ti
OSmacOS 15.7.4Microsoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-9b qwen2.5-coder:7b
Tokens/sec28.973.0
First chunk338 ms52 ms
TTFT338 ms52 ms
Load timeN/A4.2 s
Memory usage6.1 GB4.4 GB
Memory %10%14%

HW Fit Score Breakdown

qwen3.5-9b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen2.5-coder:7b

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

Quality

qwen3.5-9b

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong

qwen2.5-coder:7b

Reasoning
10/20
Coding
19/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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