qwen3:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 5, 2026 · Apple M1 Max
Global Score
86 vs 62
Hardware Fit
98 vs 100
Quality Score
81 vs 46
Hardware
qwen3:30b qwen3.5:0.8b
MachineASUSMacBook Pro
CPUIntel Core™ Ultra 9 285KApple M1 Max
Cores2410
RAM47 GB32 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M1 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3:30b qwen3.5:0.8b
Tokens/sec204.865.8
First chunk96 ms230 ms
TTFT674 ms230 ms
Load time5.2 s1.5 s
Memory usage20.5 GB2.6 GB
Memory %43%8%
HW Fit Score Breakdown
qwen3:30b
Speed
50/50
TTFT
20/20
Memory
28/30
qwen3.5:0.8b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3:30b
Reasoning
16/20
Coding
12/20
Instruction
17/20
Structured
12/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.5:0.8b
Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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