Back to leaderboard

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

qwen3.5:35b-a3b

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
85 vs 59
Hardware Fit
96 vs 69
Quality Score
80 vs 54

Hardware

qwen3.5:9b qwen3.5:35b-a3b
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M4 Pro
Cores2014
RAM32 GB48 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.3.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b qwen3.5:35b-a3b
Tokens/sec88.630.5
First chunk306 ms333 ms
TTFT306 ms30.0 s
Load time7.0 s9.8 s
Memory usage8.1 GB25.1 GB
Memory %25%52%

HW Fit Score Breakdown

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
26/30

qwen3.5:35b-a3b

Speed
45/50
TTFT
0/20
Memory
24/30

Quality

qwen3.5:9b

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5:35b-a3b

Reasoning
18/20
Coding
1/20
Instruction
7/20
Structured
6/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong
View qwen3.5:9b details | View qwen3.5:35b-a3b details

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