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qwen2.5-coder:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

Global Score
86 vs 66
Hardware Fit
100 vs 34
Quality Score
80 vs 80

Hardware

qwen2.5-coder:14b qwen3.5:27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac mini
CPUIntel Core™ i5-14400FApple M4
Cores1610
RAM32 GB24 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder:14b qwen3.5:27b
Tokens/sec38.34.0
First chunk78 ms1655 ms
TTFT78 ms1.7 s
Load time6.3 s12.9 s
Memory usage8.8 GB21.3 GB
Memory %28%89%

HW Fit Score Breakdown

qwen2.5-coder:14b

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

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

Quality

qwen2.5-coder:14b

Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5:27b

Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong 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