qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
Global Score
77 vs 66
Hardware Fit
53 vs 91
Quality Score
87 vs 55
Hardware
qwen3.5:35b qwen3.8-27b-mlx
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M5 Max
Cores2018
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M5 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 27.0
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:35b qwen3.8-27b-mlx
Tokens/sec16.033.2
First chunk719 ms7 ms
TTFT719 ms311 ms
Load time17.8 sN/A
Memory usage25.0 GB0.5 GB
Memory %79%1%
HW Fit Score Breakdown
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:35b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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