qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 4bit
Mar 3, 2026 · Apple M4
gemma3:1b
OLLAMA GGUFgemma3 · 999.89M · Q4_K_M
Jun 25, 2026 · Cortex-A78AE
Global Score
55 vs 57
Hardware Fit
87 vs 100
Quality Score
41 vs 39
Hardware
qwen3.5-0.8b-mlx gemma3:1b
MachineMacBook AirNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUApple M4Cortex-A78AE
Cores106
RAM32 GB7 GB
GPUApple M4Integrated / Unknown
OSmacOS 26.3Ubuntu 22.04.5 LTS
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx gemma3:1b
Tokens/sec68.233.9
First chunk3268 ms1939 ms
TTFT3.3 s1.9 s
Load timeN/A1.8 s
Memory usage0.6 GB0.8 GB
Memory %2%11%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
13/20
Memory
24/30
gemma3:1b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
gemma3:1b
Reasoning
6/20
Coding
3/20
Instruction
14/20
Structured
8/15
Math
1/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate 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