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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

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
65 vs 84
Hardware Fit
92 vs 94
Quality Score
54 vs 80

Hardware

qwen2.5:1.5b qwen3.5:9b
MachineiMacASUS
CPUIntel Core™ i7-4771Intel Core™ i5-14600KF
Cores820
RAM32 GB32 GB
GPUNVIDIA GeForce GTX 780MNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.7.3Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:1.5b qwen3.5:9b
Tokens/sec19.686.3
First chunk690 ms316 ms
TTFT690 ms316 ms
Load time21.4 s0.3 s
Memory usage1.0 GB8.1 GB
Memory %3%25%

HW Fit Score Breakdown

qwen2.5:1.5b

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

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
24/30

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
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate 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