qwen3.5:latest
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 8, 2026 · Apple M4
smollm2-360m-instruct
LM-STUDIO MLXllama · 360M · bf16
Mar 4, 2026 · Apple M4
Global Score
34 vs 52
Hardware Fit
58 vs 100
Quality Score
23 vs 32
Hardware
qwen3.5:latest smollm2-360m-instr…
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM16 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:latest smollm2-360m-instr…
Tokens/sec13.3121.1
First chunk438 ms106 ms
TTFT19.8 s106 ms
Load time0.2 sN/A
Memory usage8.0 GB0.7 GB
Memory %50%2%
HW Fit Score Breakdown
qwen3.5:latest
Speed
32/50
TTFT
1/20
Memory
25/30
smollm2-360m-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:latest
Reasoning
6/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong
smollm2-360m-instruct
Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor 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