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qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Global Score
40 vs 79
Hardware Fit
89 vs 98
Quality Score
19 vs 71

Hardware

qwen3-0.6b ministral-3:8b
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 ministral-3:8b
Tokens/sec14.441.4
First chunk854 ms257 ms
TTFT854 ms257 ms
Load timeN/A5.2 s
Memory usage0.5 GB9.0 GB
Memory %3%38%

HW Fit Score Breakdown

qwen3-0.6b

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

ministral-3:8b

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

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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3-0.6b details | View ministral-3:8b 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