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qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

gemma3:4b

OLLAMA GGUF

gemma3 · 4.3B · Q4_K_M

Marginal

Jun 25, 2026 · Cortex-A78AE

Global Score
48 vs 46
Hardware Fit
61 vs 93
Quality Score
42 vs 26

Hardware

qwen3.5-0.8b gemma3:4b
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 gemma3:4b
Tokens/sec6.214.9
First chunk4461 ms2204 ms
TTFT4.5 s2.2 s
Load timeN/A2.0 s
Memory usage0.7 GB2.6 GB
Memory %4%35%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

gemma3:4b

Speed
45/50
TTFT
19/20
Memory
29/30

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

gemma3:4b

Reasoning
11/20
Coding
11/20
Instruction
0/20
Structured
0/15
Math
4/15
Multilingual
0/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Poor

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