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qwen2.5-coder:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

Global Score
86 vs 65
Hardware Fit
100 vs 96
Quality Score
80 vs 51

Hardware

qwen2.5-coder:14b qwen3-4b-qwen3.6-p…
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac Studio
CPUIntel Core™ i5-14400FApple M2 Max
Cores1612
RAM32 GB96 GB
GPUNVIDIA GeForce RTX 5060 TiApple M2 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-coder:14b qwen3-4b-qwen3.6-p…
Tokens/sec38.399.6
First chunk78 ms18 ms
TTFT78 ms1.6 s
Load time6.3 s4.8 s
Memory usage8.8 GB0.3 GB
Memory %28%0%

HW Fit Score Breakdown

qwen2.5-coder:14b

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

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

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

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
View qwen2.5-coder:14b details | View qwen3-4b-qwen3.6-p… details

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