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qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_S

Excellent

Mar 12, 2026 · Apple M4 Pro

Global Score
65 vs 84
Hardware Fit
92 vs 91
Quality Score
54 vs 81

Hardware

qwen2.5:1.5b qwen3.5-9b
MachineiMacMac mini
CPUIntel Core™ i7-4771Apple M4 Pro
Cores814
RAM32 GB64 GB
GPUNVIDIA GeForce GTX 780MApple M4 Pro
OSmacOS 15.7.3macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b qwen3.5-9b
Tokens/sec19.630.2
First chunk690 ms499 ms
TTFT690 ms499 ms
Load time21.4 sN/A
Memory usage1.0 GB6.7 GB
Memory %3%11%

HW Fit Score Breakdown

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

qwen3.5-9b

Speed
41/50
TTFT
20/20
Memory
30/30

Quality

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

qwen3.5-9b

Reasoning
16/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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