qwen3.5-0.8b
LM-STUDIO GGUFqwen35 · 0.8B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
Jun 26, 2026 · Cortex-A78AE
Global Score
48 vs 63
Hardware Fit
61 vs 100
Quality Score
42 vs 47
Hardware
qwen3.5-0.8b llama3.2:1b
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
qwen3.5-0.8b llama3.2:1b
Tokens/sec6.240.2
First chunk4461 ms1087 ms
TTFT4.5 s1.1 s
Load timeN/A6.2 s
Memory usage0.7 GB1.4 GB
Memory %4%19%
HW Fit Score Breakdown
qwen3.5-0.8b
Speed
22/50
TTFT
12/20
Memory
27/30
llama3.2:1b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-0.8b
Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
llama3.2:1b
Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest