Back to leaderboard

qwen3-vl:30b

OLLAMA GGUF

qwen3vlmoe · 31.1B · Q4_K_M

Excellent

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

qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Mar 7, 2026 · Intel Core™ i5-14600KF

Global Score
80 vs 77
Hardware Fit
98 vs 53
Quality Score
72 vs 87

Hardware

qwen3-vl:30b qwen3.5:35b
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-vl:30b qwen3.5:35b
Tokens/sec208.916.0
First chunk102 ms719 ms
TTFT684 ms719 ms
Load time0.1 s17.8 s
Memory usage22.0 GB25.0 GB
Memory %47%79%

HW Fit Score Breakdown

qwen3-vl:30b

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

qwen3.5:35b

Speed
23/50
TTFT
20/20
Memory
10/30

Quality

qwen3-vl:30b

Reasoning
14/20
Coding
6/20
Instruction
17/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5:35b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3-vl:30b details | View qwen3.5:35b details

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