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qwen3-0.6b

LM-STUDIO GGUF

qwen3 · 0.6B · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

Global Score
40 vs 46
Hardware Fit
89 vs 61
Quality Score
19 vs 40

Hardware

qwen3-0.6b llama3.1:8b
MachineLENOVO 20BUS00700NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUIntel Core™ i5-5300UCortex-A78AE
Cores46
RAM16 GB7 GB
GPUIntel(R) HD Graphics 5500Integrated / Unknown
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-0.6b llama3.1:8b
Tokens/sec14.47.8
First chunk854 ms1625 ms
TTFT854 ms1.6 s
Load timeN/A21.8 s
Memory usage0.5 GB5.2 GB
Memory %3%71%

HW Fit Score Breakdown

qwen3-0.6b

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

llama3.1:8b

Speed
26/50
TTFT
20/20
Memory
15/30

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

llama3.1:8b

Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak 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