qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
Global Score
65 vs 53
Hardware Fit
92 vs 72
Quality Score
54 vs 45
Hardware
qwen2.5:1.5b qwen3.5:9b
MachineiMacMacBook Pro
CPUIntel Core™ i7-4771Apple M1 Max
Cores810
RAM32 GB32 GB
GPUNVIDIA GeForce GTX 780MApple M1 Max
OSmacOS 15.7.3macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:1.5b qwen3.5:9b
Tokens/sec19.618.6
First chunk690 ms403 ms
TTFT690 ms10.2 s
Load time21.4 s4.3 s
Memory usage1.0 GB9.1 GB
Memory %3%28%
HW Fit Score Breakdown
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
38/50
TTFT
4/20
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
12/20
Coding
3/20
Instruction
5/20
Structured
6/15
Math
11/15
Multilingual
8/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak 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