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mlx-community/Llama-3.2-3B-Instruct-4bit

LM-STUDIO GGUF
Good

Mar 5, 2026 · Apple M4

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

LM-STUDIO GGUF

qwen35moe · 35B

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
74 vs 90
Hardware Fit
100 vs 100
Quality Score
63 vs 86

Hardware

mlx-community/Llam… 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

mlx-community/Llam… qwen3.6-35b-a3b-cl…
Tokens/sec50.678.1
First chunk257 ms7 ms
TTFT257 ms138 ms
Load timeN/AN/A
Memory usage0.7 GB23.9 GB
Memory %2%19%

HW Fit Score Breakdown

mlx-community/Llama-3.2…

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

qwen3.6-35b-a3b-claude-…

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

Quality

mlx-community/Llama-3.2…

Reasoning
9/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

qwen3.6-35b-a3b-claude-…

Reasoning
18/20
Coding
17/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

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