qwen2.5-vl:7b
OLLAMA GGUFqwen2vl · 7.6B · Q4_K_M
Nov 8, 2026 · AMD Ryzen 7 8845HS
qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
Global Score
84 vs 80
Hardware Fit
100 vs 56
Quality Score
77 vs 90
Hardware
qwen2.5-vl:7b qwen/qwen3.6-27b
MachineLENOVO 83DHMacBook Pro
CPUAMD Ryzen 7 8845HSApple M1 Pro
Cores1610
RAM15 GB32 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M GraphicsApple M1 Pro
OSMicrosoft Windows 11 Home Single Language 10.0.26300macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5-vl:7b qwen/qwen3.6-27b
Tokens/sec29.910.8
First chunk89 ms16 ms
TTFT89 ms2.6 s
Load time10.9 sN/A
Memory usage4.8 GB21.0 GB
Memory %31%66%
HW Fit Score Breakdown
qwen2.5-vl:7b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
Quality
qwen2.5-vl:7b
Reasoning
16/20
Coding
14/20
Instruction
13/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest