Back to leaderboard

qwen3.5-9b@q5_k_xl

LM-STUDIO GGUF

qwen35 · 9B · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

qwen3-vl:4b-instruct

OLLAMA GGUF

qwen3vl · 4.4B · Q4_K_M

Excellent

Apr 20, 2026 · Apple M2 Max

Global Score
73 vs 83
Hardware Fit
47 vs 96
Quality Score
84 vs 78

Hardware

qwen3.5-9b@q5_k_xl qwen3-vl:4b-instruct
MachineDocker ContainerMac Studio
CPUIntel Gen Intel® Core™ i9-11900HApple M2 Max
Cores1612
RAM15 GB96 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M2 Max
OSUbuntu 26.04 LTSmacOS 26.1
Archx64arm64
Power Modeperformancebalanced

Performance

qwen3.5-9b@q5_k_xl qwen3-vl:4b-instruct
Tokens/sec5.690.6
First chunk19 ms159 ms
TTFT5.6 s159 ms
Load time12.5 s5.8 s
Memory usage0.0 GB42.5 GB
Memory %0%44%

HW Fit Score Breakdown

qwen3.5-9b@q5_k_xl

Speed
10/50
TTFT
7/20
Memory
30/30

qwen3-vl:4b-instruct

Speed
50/50
TTFT
20/20
Memory
26/30

Quality

qwen3.5-9b@q5_k_xl

Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3-vl:4b-instruct

Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5-9b@q5_k_xl details | View qwen3-vl:4b-instruct 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