google/gemma-4-e4b
LM-STUDIO GGUFgemma4 · 7.9B · Q4_K_M
Oct 31, 2026 · AMD RYZEN AI MAX+ 395
prism-ml/bonsai-27b
LM-STUDIO GGUFqwen35 · 27B · Q1_0
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
81 vs 81
Hardware Fit
84 vs 95
Quality Score
79 vs 75
Hardware
google/gemma-4-e4b prism-ml/bonsai-27b
MachineGMKtec EVO-X3ASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUAMD RYZEN AI MAX+ 395AMD Ryzen 9 8940HX
Cores3232
RAM120 GB15 GB
GPUAMD Radeon(TM) 8060S GraphicsNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSMicrosoft Windows 11 Pro 10.0.26300Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modebalancedbalanced
Performance
google/gemma-4-e4b prism-ml/bonsai-27b
Tokens/sec47.333.6
First chunk23 ms20 ms
TTFT1.9 s409 ms
Load timeN/AN/A
Memory usage13.2 GB5.3 GB
Memory %11%35%
HW Fit Score Breakdown
google/gemma-4-e4b
Speed
44/50
TTFT
10/20
Memory
30/30
prism-ml/bonsai-27b
Speed
46/50
TTFT
20/20
Memory
29/30
Quality
google/gemma-4-e4b
Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak 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