Back to leaderboard

qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

Global Score
40 vs 33
Hardware Fit
89 vs 100
Quality Score
19 vs 4

Hardware

qwen3-0.6b microllm-10m:latest
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores412
RAM16 GB24 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-0.6b microllm-10m:latest
Tokens/sec14.41544.8
First chunk854 ms12 ms
TTFT854 ms12 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

microllm-10m:latest

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

microllm-10m:latest

Reasoning
0/20
Coding
0/20
Instruction
4/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View qwen3-0.6b details | View microllm-10m:latest 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