qwen3-coder:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
90 vs 66
Hardware Fit
96 vs 100
Quality Score
87 vs 52
Hardware
qwen3-coder:30b hf.co/empero-ai/Qw…
MachineASUSMacBook Pro
CPUIntel Core™ Ultra 9 285KApple M4
Cores2410
RAM47 GB16 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-coder:30b hf.co/empero-ai/Qw…
Tokens/sec207.926.5
First chunk513 ms447 ms
TTFT513 ms447 ms
Load time4.9 s3.3 s
Memory usage20.5 GB4.8 GB
Memory %43%30%
HW Fit Score Breakdown
qwen3-coder:30b
Speed
50/50
TTFT
20/20
Memory
26/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3-coder:30b
Reasoning
16/20
Coding
19/20
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
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
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