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

OLLAMA GGUF

nvfp4

Not Rec.

May 25, 2026 · Apple M4 Pro

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
76 vs 65
Hardware Fit
77 vs 99
Quality Score
76 vs 51

Hardware

qwen3.6:35b-a3b-co… smollm2-1.7b-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… smollm2-1.7b-instr…
Tokens/sec72.728.5
First chunk147 ms393 ms
TTFT30.0 s393 ms
Load time5.7 sN/A
Memory usage19.6 GB3.2 GB
Memory %41%10%

HW Fit Score Breakdown

qwen3.6:35b-a3b-coding-…

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

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

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

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3.6:35b-a3b-co… details | View smollm2-1.7b-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