Back to leaderboard

qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen3.6:35b-mlx

OLLAMA GGUF

nvfp4

Excellent

Jul 17, 2026 · Apple M5 Max

Global Score
86 vs 89
Hardware Fit
100 vs 97
Quality Score
80 vs 86

Hardware

qwen3.5:9b-q8_0 qwen3.6:35b-mlx
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M5 Max
Cores1618
RAM32 GB48 GB
GPUNVIDIA GeForce RTX 5060 TiApple M5 Max
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b-q8_0 qwen3.6:35b-mlx
Tokens/sec37.7129.4
First chunk120 ms49 ms
TTFT120 ms49 ms
Load time8.3 s0.0 s
Memory usage8.4 GB20.5 GB
Memory %26%43%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

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

qwen3.6:35b-mlx

Speed
50/50
TTFT
20/20
Memory
27/30

Quality

qwen3.5:9b-q8_0

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

qwen3.6:35b-mlx

Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5:9b-q8_0 details | View qwen3.6:35b-mlx 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