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qwen2.5-vl:7b

OLLAMA GGUF

qwen2vl · 7.6B · Q4_K_M

Excellent

Nov 8, 2026 · AMD Ryzen 7 8845HS

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
84 vs 87
Hardware Fit
100 vs 83
Quality Score
77 vs 88

Hardware

qwen2.5-vl:7b qwen/qwen3.8-27b
MachineLENOVO 83DHMacBook Pro
CPUAMD Ryzen 7 8845HSApple M4 Max
Cores1616
RAM15 GB128 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M GraphicsApple M4 Max
OSMicrosoft Windows 11 Home Single Language 10.0.26300macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-vl:7b qwen/qwen3.8-27b
Tokens/sec29.929.1
First chunk89 ms9 ms
TTFT89 ms650 ms
Load time10.9 sN/A
Memory usage4.8 GB21.0 GB
Memory %31%16%

HW Fit Score Breakdown

qwen2.5-vl:7b

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

qwen/qwen3.8-27b

Speed
33/50
TTFT
20/20
Memory
30/30

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/qwen3.8-27b

Reasoning
18/20
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

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