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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

Global Score
85 vs 72
Hardware Fit
100 vs 89
Quality Score
79 vs 65

Hardware

qwen2.5:7b qwen3.5-9b
MachineMACHENIKE L16PMac mini
CPUIntel Gen Intel® Core™ i9-12900HXApple M4 Pro
Cores2414
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M4 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:7b qwen3.5-9b
Tokens/sec52.428.9
First chunk48 ms338 ms
TTFT48 ms338 ms
Load time2.0 sN/A
Memory usage4.4 GB6.1 GB
Memory %14%10%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen3.5-9b

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

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen2.5:7b details | View qwen3.5-9b 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