Back to leaderboard

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 26, 2026 · Apple M1 Pro

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
68 vs 65
Hardware Fit
86 vs 92
Quality Score
60 vs 54

Hardware

qwen3.5:4b qwen2.5:1.5b
MachineMacBook ProiMac
CPUApple M1 ProIntel Core™ i7-4771
Cores108
RAM16 GB32 GB
GPUApple M1 ProNVIDIA GeForce GTX 780M
OSmacOS 26.6.2macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5:4b qwen2.5:1.5b
Tokens/sec36.519.6
First chunk207 ms690 ms
TTFT6.6 s690 ms
Load time3.2 s21.4 s
Memory usage5.3 GB1.0 GB
Memory %33%3%

HW Fit Score Breakdown

qwen3.5:4b

Speed
50/50
TTFT
7/20
Memory
29/30

qwen2.5:1.5b

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

Quality

qwen3.5:4b

Reasoning
16/20
Coding
1/20
Instruction
12/20
Structured
9/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong

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

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