Back to leaderboard

qwen/qwen3.6-27b

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Not Rec.

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

qwen2.5:3b

OLLAMA GGUF

qwen2 · 3.1B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
76 vs 77
Hardware Fit
47 vs 100
Quality Score
89 vs 67

Hardware

qwen/qwen3.6-27b qwen2.5:3b
MachineGMKtec EVO-X3MacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3.6-27b qwen2.5:3b
Tokens/sec10.747.2
First chunk35 msN/A
TTFT885 ms168 ms
Load time127.6 s0.5 s
Memory usage67.5 GB4.0 GB
Memory %56%13%

HW Fit Score Breakdown

qwen/qwen3.6-27b

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

qwen2.5:3b

Speed
40/50
TTFT
30/20
Memory
30/30

Quality

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

qwen2.5:3b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen/qwen3.6-27b details | View qwen2.5:3b 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