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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

qwen/qwen3.6-27b

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Not Rec.

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

Global Score
85 vs 76
Hardware Fit
100 vs 47
Quality Score
79 vs 89

Hardware

qwen2.5:7b qwen/qwen3.6-27b
MachineMACHENIKE L16PGMKtec EVO-X3
CPUIntel Gen Intel® Core™ i9-12900HXAMD RYZEN AI MAX+ 395
Cores2432
RAM32 GB120 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUAMD Radeon(TM) 8060S Graphics
OSMicrosoft Windows 11 专业版 10.0.26300Microsoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modebalancedbalanced

Performance

qwen2.5:7b qwen/qwen3.6-27b
Tokens/sec52.110.7
First chunk41 ms35 ms
TTFT41 ms885 ms
Load time2.1 s127.6 s
Memory usage4.4 GB67.5 GB
Memory %14%56%

HW Fit Score Breakdown

qwen2.5:7b

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

qwen/qwen3.6-27b

Speed
9/50
TTFT
16/20
Memory
22/30

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3.6-27b

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen2.5:7b details | View qwen/qwen3.6-27b 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