qwen2.5-coder:14b
OLLAMA GGUFqwen2 · 14.8B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
qwen3-vl:4b-instruct
OLLAMA GGUFqwen3vl · 4.4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
86 vs 83
Hardware Fit
100 vs 96
Quality Score
80 vs 78
Hardware
qwen2.5-coder:14b qwen3-vl:4b-instruct
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac Studio
CPUIntel Core™ i5-14400FApple M2 Max
Cores1612
RAM32 GB96 GB
GPUNVIDIA GeForce RTX 5060 TiApple M2 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5-coder:14b qwen3-vl:4b-instruct
Tokens/sec38.390.6
First chunk78 ms159 ms
TTFT78 ms159 ms
Load time6.3 s5.8 s
Memory usage8.8 GB42.5 GB
Memory %28%44%
HW Fit Score Breakdown
qwen2.5-coder:14b
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-vl:4b-instruct
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
qwen2.5-coder:14b
Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3-vl:4b-instruct
Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate 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