qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex
LM-STUDIO GGUFqwen35moe · 35B
Jul 17, 2026 · Apple M5 Max
mlx-community/Llama-3.2-3B-Instruct-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
90 vs 74
Hardware Fit
98 vs 100
Quality Score
86 vs 63
Hardware
qwen3.6-35b-a3b-cl… mlx-community/Llam…
MachineMacBook ProMacBook Air
CPUApple M5 MaxApple M4
Cores1810
RAM64 GB32 GB
GPUApple M5 MaxApple M4
OSmacOS 27.0macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6-35b-a3b-cl… mlx-community/Llam…
Tokens/sec86.650.6
First chunk13 ms257 ms
TTFT143 ms257 ms
Load timeN/AN/A
Memory usage23.9 GB0.7 GB
Memory %37%2%
HW Fit Score Breakdown
qwen3.6-35b-a3b-claude-…
Speed
50/50
TTFT
20/20
Memory
28/30
mlx-community/Llama-3.2…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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