qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

lfm2-24b-a2b

LM-STUDIO GGUF

Good

Mar 6, 2026 · Apple M4 Pro

Global Score

85 vs 78

Hardware Fit

96 vs 100

Quality Score

80 vs 68

Hardware

qwen3.5:9b lfm2-24b-a2b

MachineASUSMac mini

CPUIntel Core™ i5-14600KFApple M4 Pro

Cores2014

RAM32 GB64 GB

GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M4 Pro

OSMicrosoft Windows 11 Famille 10.0.26200macOS 15.7.4

Archx64arm64

Power Modebalancedbalanced

Performance

qwen3.5:9b lfm2-24b-a2b

Tokens/sec88.6105.9

First chunk306 ms252 ms

TTFT306 ms252 ms

Load time7.0 sN/A

Memory usage8.1 GB0.1 GB

Memory %25%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed

50/50

TTFT

20/20

Memory

26/30

lfm2-24b-a2b

Speed

50/50

TTFT

20/20

Memory

30/30

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

lfm2-24b-a2b

Reasoning

12/20

Coding

14/20

Instruction

12/20

Structured

13/15

Math

8/15

Multilingual

9/10

Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

View qwen3.5:9b details | View lfm2-24b-a2b 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