qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex
LM-STUDIO GGUFqwen35moe · 35B
Jul 17, 2026 · Apple M5 Max
gemma-3-270m-it-qat-mlx
LM-STUDIO MLXgemma3_text · 270M · 4bit
Mar 4, 2026 · Apple M4
Global Score
90 vs 43
Hardware Fit
98 vs 99
Quality Score
86 vs 19
Hardware
qwen3.6-35b-a3b-cl… gemma-3-270m-it-qa…
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… gemma-3-270m-it-qa…
Tokens/sec86.6344.2
First chunk13 ms173 ms
TTFT143 ms173 ms
Load timeN/AN/A
Memory usage23.9 GB0.3 GB
Memory %37%1%
HW Fit Score Breakdown
qwen3.6-35b-a3b-claude-…
Speed
50/50
TTFT
20/20
Memory
28/30
gemma-3-270m-it-qat-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
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
gemma-3-270m-it-qat-mlx
Reasoning
4/20
Coding
0/20
Instruction
9/20
Structured
3/15
Math
1/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
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