Back to leaderboard

qwen3.5:35b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q4_K_S

Not Rec.

Apr 20, 2026 · Apple M2 Max

Global Score
77 vs 82
Hardware Fit
53 vs 80
Quality Score
87 vs 83

Hardware

qwen3.5:35b qwen3.6-35b-a3b
MachineASUSMac Studio
CPUIntel Core™ i5-14600KFApple M2 Max
Cores2012
RAM32 GB96 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M2 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:35b qwen3.6-35b-a3b
Tokens/sec16.055.2
First chunk719 ms4 ms
TTFT719 ms30.0 s
Load time17.8 sN/A
Memory usage25.0 GB30.3 GB
Memory %79%32%

HW Fit Score Breakdown

qwen3.5:35b

Speed
23/50
TTFT
20/20
Memory
10/30

qwen3.6-35b-a3b

Speed
50/50
TTFT
0/20
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

qwen3.6-35b-a3b

Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong 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