qwen2.5-coder:14b
OLLAMA GGUFqwen2 · 14.8B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
prism-ml/bonsai-27b
LM-STUDIO GGUFqwen35 · 27B · Q1_0
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
86 vs 81
Hardware Fit
100 vs 95
Quality Score
80 vs 75
Hardware
qwen2.5-coder:14b prism-ml/bonsai-27b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4ASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i5-14400FAMD Ryzen 9 8940HX
Cores1632
RAM32 GB15 GB
GPUNVIDIA GeForce RTX 5060 TiNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 11 Professionnel 10.0.26200Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
qwen2.5-coder:14b prism-ml/bonsai-27b
Tokens/sec38.333.6
First chunk78 ms20 ms
TTFT78 ms409 ms
Load time6.3 sN/A
Memory usage8.8 GB5.3 GB
Memory %28%35%
HW Fit Score Breakdown
qwen2.5-coder:14b
Speed
50/50
TTFT
20/20
Memory
30/30
prism-ml/bonsai-27b
Speed
46/50
TTFT
20/20
Memory
29/30
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
prism-ml/bonsai-27b
Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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