qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
gemma2:9b
OLLAMA GGUFgemma2 · 9.2B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
60 vs 76
Hardware Fit
96 vs 89
Quality Score
44 vs 71
Hardware
qwen3.5-0.8b-mlx gemma2:9b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b-mlx gemma2:9b
Tokens/sec108.017.5
First chunk2568 msN/A
TTFT2.6 s347 ms
Load timeN/A0.8 s
Memory usage1.0 GB8.2 GB
Memory %3%26%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
gemma2:9b
Speed
29/50
TTFT
30/20
Memory
30/30
Quality
qwen3.5-0.8b-mlx
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
gemma2:9b
Reasoning
11/20
Coding
15/20
Instruction
13/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
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