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smollm2:360m

OLLAMA GGUF

llama · 361.82M · F16

Marginal

Mar 2, 2026 · Apple M4

qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex

LM-STUDIO GGUF

qwen35moe · 35B

Not Rec.

Aug 19, 2026 · Apple M4 Max

Global Score
52 vs 88
Hardware Fit
100 vs 80
Quality Score
32 vs 92

Hardware

smollm2:360m qwen3.6-35b-a3b-cl…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB128 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:360m qwen3.6-35b-a3b-cl…
Tokens/sec117.976.7
First chunkN/A29 ms
TTFT43 ms30.0 s
Load time0.4 sN/A
Memory usage1.2 GB23.9 GB
Memory %4%19%

HW Fit Score Breakdown

smollm2:360m

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

qwen3.6-35b-a3b-claude-…

Speed
50/50
TTFT
0/20
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

qwen3.6-35b-a3b-claude-…

Reasoning
19/20
Coding
18/20
Instruction
17/20
Structured
14/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View smollm2:360m details | View qwen3.6-35b-a3b-cl… details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest