qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
qwen3:0.6b
OLLAMA GGUFqwen3 · 751.63M · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
60 vs 61
Hardware Fit
96 vs 100
Quality Score
44 vs 44
Hardware
qwen3.5-0.8b-mlx qwen3:0.6b
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 qwen3:0.6b
Tokens/sec108.0144.3
First chunk2568 msN/A
TTFT2.6 s81 ms
Load timeN/A0.9 s
Memory usage1.0 GB4.1 GB
Memory %3%13%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
qwen3:0.6b
Speed
40/50
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
qwen3:0.6b
Reasoning
6/20
Coding
4/20
Instruction
10/20
Structured
13/15
Math
6/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Weak
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