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qwen2.5-coder:14b

OLLAMA GGUF

qwen2 · 14.8B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score
86 vs 71
Hardware Fit
100 vs 35
Quality Score
80 vs 86

Hardware

qwen2.5-coder:14b google/gemma-3-27b
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 google/gemma-3-27b
Tokens/sec38.35.9
First chunk78 ms19 ms
TTFT78 ms1.8 s
Load time6.3 sN/A
Memory usage8.8 GB22.0 GB
Memory %28%92%

HW Fit Score Breakdown

qwen2.5-coder:14b

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

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

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

google/gemma-3-27b

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen2.5-coder:14b details | View google/gemma-3-27b 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