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qwen3.6:35b-a3b-coding-nvfp4

OLLAMA GGUF

nvfp4

Not Rec.

May 25, 2026 · Apple M4 Pro

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score
76 vs 52
Hardware Fit
77 vs 100
Quality Score
76 vs 32

Hardware

qwen3.6:35b-a3b-co… smollm2-360m-instr…
MachineMacBook ProMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM48 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 26.4.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.6:35b-a3b-co… smollm2-360m-instr…
Tokens/sec72.7121.1
First chunk147 ms106 ms
TTFT30.0 s106 ms
Load time5.7 sN/A
Memory usage19.6 GB0.7 GB
Memory %41%2%

HW Fit Score Breakdown

qwen3.6:35b-a3b-coding-…

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-a3b-coding-…

Reasoning
19/20
Coding
9/20
Instruction
13/20
Structured
12/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong 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-a3b-co… 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