mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex
LM-STUDIO GGUFqwen35moe · 35B
Jul 17, 2026 · Apple M5 Max
Global Score
73 vs 90
Hardware Fit
100 vs 98
Quality Score
62 vs 86
Hardware
mlx-community/Yi-1… qwen3.6-35b-a3b-cl…
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Yi-1… qwen3.6-35b-a3b-cl…
Tokens/sec29.186.6
First chunk451 ms13 ms
TTFT451 ms143 ms
Load timeN/AN/A
Memory usage0.9 GB23.9 GB
Memory %3%37%
HW Fit Score Breakdown
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.6-35b-a3b-claude-…
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
mlx-community/Yi-1.5-6B…
Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Adequate
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest