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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

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
48 vs 50
Hardware Fit
61 vs 97
Quality Score
42 vs 30

Hardware

qwen3.5-0.8b gemma3:270m
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M3 Pro
Cores412
RAM16 GB36 GB
GPUIntel(R) HD Graphics 5500Apple M3 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.5
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b gemma3:270m
Tokens/sec6.2239.2
First chunk4461 ms127 ms
TTFT4.5 s127 ms
Load timeN/A0.7 s
Memory usage0.7 GB0.6 GB
Memory %4%2%

HW Fit Score Breakdown

qwen3.5-0.8b

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

gemma3:270m

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

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
View qwen3.5-0.8b details | View gemma3:270m 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