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qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen/qwen3.6-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Oct 22, 2026 · Apple M1 Pro

Global Score
91 vs 80
Hardware Fit
100 vs 56
Quality Score
87 vs 90

Hardware

qwen3:14b qwen/qwen3.6-27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M1 Pro
Cores1610
RAM32 GB32 GB
GPUNVIDIA GeForce RTX 5060 TiApple M1 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:14b qwen/qwen3.6-27b
Tokens/sec38.110.8
First chunk79 ms16 ms
TTFT79 ms2.6 s
Load time6.3 sN/A
Memory usage9.0 GB21.0 GB
Memory %28%66%

HW Fit Score Breakdown

qwen3:14b

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

qwen/qwen3.6-27b

Speed
23/50
TTFT
16/20
Memory
17/30

Quality

qwen3:14b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen/qwen3.6-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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