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qwen3.5:9b-mlx

OLLAMA GGUF

nvfp4

Marginal

Aug 26, 2026 · Apple M1 Pro

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
54 vs 65
Hardware Fit
81 vs 99
Quality Score
43 vs 51

Hardware

qwen3.5:9b-mlx smollm2-1.7b-instr…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b-mlx smollm2-1.7b-instr…
Tokens/sec25.228.5
First chunk341 ms393 ms
TTFT6.3 s393 ms
Load time3.4 sN/A
Memory usage8.4 GB3.2 GB
Memory %52%10%

HW Fit Score Breakdown

qwen3.5:9b-mlx

Speed
50/50
TTFT
7/20
Memory
24/30

smollm2-1.7b-instruct

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

Quality

qwen3.5:9b-mlx

Reasoning
14/20
Coding
2/20
Instruction
4/20
Structured
4/15
Math
10/15
Multilingual
9/10
Reasoning: Adequate Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Adequate 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 qwen3.5:9b-mlx 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