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smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

Global Score
52 vs 36
Hardware Fit
100 vs 100
Quality Score
32 vs 8

Hardware

smollm2:360m qwen36-distill-apex
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:360m qwen36-distill-apex
Tokens/sec117.955.2
First chunkN/A210 ms
TTFT43 ms210 ms
Load time0.4 s4.8 s
Memory usage1.2 GB0.9 GB
Memory %4%2%

HW Fit Score Breakdown

smollm2:360m

Speed
40/50
TTFT
30/20
Memory
30/30

qwen36-distill-apex

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

smollm2:360m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
9/15
Math
4/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
View smollm2:360m details | View qwen36-distill-apex details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest