qwen3-coder:30b-a3b-q4_K_M

qwen3moe · 30.5B · Q4_K_M

Micro-Star International Co., Ltd. Titan 18 HX AI A2XWJG (Intel Core™ Ultra 9 285HX)

63 GB · Microsoft Windows 11 Home Single Language 10.0.26200

Tested on June 18, 2026 · Submitted by alkonaesc
Top 83% Compare
Global Score
52 /100
Marginal
Hardware Fit
69/100
Quality
45/100

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Hardware

Machine
Micro-Star International Co., Ltd. Titan 18 HX AI A2XWJG
CPU
Intel Core™ Ultra 9 285HX
Cores
24 total (24 perf)
Frequency
2.8 GHz
RAM
63 GB DDR5
GPU
Intel(R) Graphics, NVIDIA GeForce RTX 5090 Laptop GPU
OS
Microsoft Windows 11 Home Single Language 10.0.26200
Arch
x64
Power Mode
balanced

Performance

Tokens/sec
29.4
Standard deviation
±1.6
First chunk latency
593 ms
Time to first token
593 ms
Load time
14.2 s
Memory usage
42.6 GB (67%)
Total tokens
994

Score breakdown

Speed
33/50
Time to first token
20/20
Memory
16/30

Quality

Reasoning
16/20
Coding
18/20
Instruction following
0/20
Structured output
0/15
Math
11/15
Multilingual
0/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

Metadata

Spec version
0.2.1
Runtime
Ollama 0.30.10
Model format
GGUF
Hardware profile
HIGH-END
Result hash
906912368aa9a8ca2e2251d4701de97bebc0a12c62daa2e236e7692498ed9c82

Interpretation

Hardware fit: 69/100. Overall suitability: MARGINAL (Global 52/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Poor, Structured Output: Poor, Math: Strong, Multilingual: Poor.

Bench Environment

Power: AC CPU load: avg 59% (peak 74%)

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest