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qwen3.6:35b-mlx

OLLAMA GGUF

nvfp4

Not Rec.

Jul 17, 2026 · Apple M5 Max

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score
80 vs 52
Hardware Fit
77 vs 100
Quality Score
81 vs 32

Hardware

qwen3.6:35b-mlx smollm2-360m-instr…
MachineMacBook ProMacBook Air
CPUApple M5 MaxApple M4
Cores1810
RAM48 GB32 GB
GPUApple M5 MaxApple M4
OSmacOS 26.5.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.6:35b-mlx smollm2-360m-instr…
Tokens/sec129.8121.1
First chunk77 ms106 ms
TTFT30.0 s106 ms
Load time1.8 sN/A
Memory usage19.7 GB0.7 GB
Memory %41%2%

HW Fit Score Breakdown

qwen3.6:35b-mlx

Speed
50/50
TTFT
0/20
Memory
27/30

smollm2-360m-instruct

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

Quality

qwen3.6:35b-mlx

Reasoning
19/20
Coding
9/20
Instruction
18/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Adequate Math: Strong 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
View qwen3.6:35b-mlx details | View smollm2-360m-instr… 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