vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

Global Score

59 vs 90

Hardware Fit

84 vs 96

Quality Score

48 vs 87

Hardware

vicuna:13b qwen3-coder:30b

MachineMacBook AirASUS

CPUApple M4Intel Core™ Ultra 9 285K

Cores1024

RAM32 GB47 GB

GPUApple M4NVIDIA GeForce RTX 5090, Intel(R) Graphics

OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

vicuna:13b qwen3-coder:30b

Tokens/sec13.4207.9

First chunkN/A513 ms

TTFT438 ms513 ms

Load time0.6 s4.9 s

Memory usage10.3 GB20.5 GB

Memory %32%43%

HW Fit Score Breakdown

vicuna:13b

Speed

24/50

TTFT

30/20

Memory

30/30

qwen3-coder:30b

Speed

50/50

TTFT

20/20

Memory

26/30

Quality

vicuna:13b

Reasoning

7/20

Coding

5/20

Instruction

12/20

Structured

13/15

Math

3/15

Multilingual

8/10

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

qwen3-coder:30b

Reasoning

16/20

Coding

19/20

Instruction

16/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View vicuna:13b details | View qwen3-coder:30b 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