qwen2.5vl:3b
OLLAMA GGUFqwen25vl · 3.8B · Q4_K_M
Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 18, 2026 · Apple M4 Max
Global Score
77 vs 87
Hardware Fit
100 vs 83
Quality Score
67 vs 88
Hardware
qwen2.5vl:3b qwen/qwen3.8-27b
MachineMicro-Star International Co., Ltd. Stealth GS77 12UHMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HApple M4 Max
Cores2016
RAM32 GB128 GB
GPUIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPUApple M4 Max
OSMicrosoft Windows 11 Home 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5vl:3b qwen/qwen3.8-27b
Tokens/sec106.529.1
First chunk68 ms9 ms
TTFT68 ms650 ms
Load time17.8 sN/A
Memory usage2.8 GB21.0 GB
Memory %9%16%
HW Fit Score Breakdown
qwen2.5vl:3b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen/qwen3.8-27b
Speed
33/50
TTFT
20/20
Memory
30/30
Quality
qwen2.5vl:3b
Reasoning
11/20
Coding
15/20
Instruction
12/20
Structured
14/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest