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qwen3:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
86 vs 84
Hardware Fit
98 vs 94
Quality Score
81 vs 80

Hardware

qwen3:30b qwen3.5:9b
MachineASUSASUS
CPUIntel Core™ Ultra 9 285KIntel Core™ i5-14600KF
Cores2420
RAM47 GB32 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsNVIDIA GeForce RTX 4070 Ti SUPER
OSMicrosoft Windows 11 Pro 10.0.26200Microsoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modebalancedbalanced

Performance

qwen3:30b qwen3.5:9b
Tokens/sec204.886.3
First chunk96 ms316 ms
TTFT674 ms316 ms
Load time5.2 s0.3 s
Memory usage20.5 GB8.1 GB
Memory %43%25%

HW Fit Score Breakdown

qwen3:30b

Speed
50/50
TTFT
20/20
Memory
28/30

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
24/30

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

qwen3.5:9b

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest