Back to leaderboard

qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

qwen3-vl-4b-instruct-q4_k_m.gguf

OPENAI GGUF
Good

Apr 21, 2026 · Apple M2 Max

Global Score
40 vs 62
Hardware Fit
89 vs 100
Quality Score
19 vs 46

Hardware

qwen3-0.6b qwen3-vl-4b-instru…
MachineLENOVO 20BUS00700Mac Studio
CPUIntel Core™ i5-5300UApple M2 Max
Cores412
RAM16 GB96 GB
GPUIntel(R) HD Graphics 5500Apple M2 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-0.6b qwen3-vl-4b-instru…
Tokens/sec14.467.8
First chunk854 ms62 ms
TTFT854 ms64 ms
Load timeN/A0.0 s
Memory usage0.5 GB0.0 GB
Memory %3%0%

HW Fit Score Breakdown

qwen3-0.6b

Speed
43/50
TTFT
20/20
Memory
26/30

qwen3-vl-4b-instruct-q4…

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

Quality

qwen3-0.6b

Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate

qwen3-vl-4b-instruct-q4…

Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
1/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor 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