qwen3.5-0.8b-mlx
LM-STUDIO MLXqwen3_5 · 0.8B · 8bit
Mar 3, 2026 · Apple M4
cogito:3b
OLLAMA GGUFllama · 3.6B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
60 vs 67
Hardware Fit
96 vs 100
Quality Score
44 vs 53
Hardware
qwen3.5-0.8b-mlx cogito:3b
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 cogito:3b
Tokens/sec108.045.6
First chunk2568 ms177 ms
TTFT2.6 s177 ms
Load timeN/A0.8 s
Memory usage1.0 GB7.0 GB
Memory %3%22%
HW Fit Score Breakdown
qwen3.5-0.8b-mlx
Speed
50/50
TTFT
16/20
Memory
30/30
cogito:3b
Speed
50/50
TTFT
20/20
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
cogito:3b
Reasoning
6/20
Coding
8/20
Instruction
13/20
Structured
15/15
Math
2/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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