Back to leaderboard

qwen3-vl:2b

OLLAMA GGUF

qwen3vl · 2.1B · Q4_K_M

Good

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
62 vs 89
Hardware Fit
99 vs 95
Quality Score
46 vs 87

Hardware

qwen3-vl:2b qwen/qwen3-8b
MachineAZW GTR ProMac mini
CPUAMD RYZEN AI MAX+ 395Apple M4 Pro
Cores3214
RAM125 GB64 GB
GPUAMD Radeon 8060SApple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3-vl:2b qwen/qwen3-8b
Tokens/sec127.433.4
First chunk101 ms257 ms
TTFT630 ms257 ms
Load time5.9 sN/A
Memory usage33.2 GB4.3 GB
Memory %27%7%

HW Fit Score Breakdown

qwen3-vl:2b

Speed
50/50
TTFT
19/20
Memory
30/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

qwen3-vl:2b

Reasoning
7/20
Coding
0/20
Instruction
11/20
Structured
7/15
Math
13/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Strong Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3-vl:2b details | View qwen/qwen3-8b 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