qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
google/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
84 vs 78
Hardware Fit
97 vs 68
Quality Score
79 vs 82
Hardware
qwen3:8b google/gemma-4-e4b…
MachineASUSDocker Container
CPUIntel Core™ Ultra 9 285KIntel Gen Intel® Core™ i9-11900H
Cores2416
RAM47 GB15 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance
Performance
qwen3:8b google/gemma-4-e4b…
Tokens/sec208.011.4
First chunk82 ms26 ms
TTFT1.3 s2.2 s
Load time1.5 s5.9 s
Memory usage9.6 GB0.0 GB
Memory %20%0%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
google/gemma-4-e4b-it-qat
Speed
21/50
TTFT
17/20
Memory
30/30
Quality
qwen3:8b
Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
google/gemma-4-e4b-it-qat
Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
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