vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3.5:latest

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Not Rec.

Mar 8, 2026 · Apple M4

Global Score

59 vs 34

Hardware Fit

97 vs 58

Quality Score

43 vs 23

Hardware

vicuna:7b qwen3.5:latest

MachineMacBook AirMac mini

CPUApple M4Apple M4

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M4

OSmacOS 26.3macOS 26.3

Archarm64arm64

Power Modebalancedbalanced

Performance

vicuna:7b qwen3.5:latest

Tokens/sec23.413.3

First chunkN/A438 ms

TTFT242 ms19.8 s

Load time0.4 s0.2 s

Memory usage5.8 GB8.0 GB

Memory %18%50%

HW Fit Score Breakdown

vicuna:7b

Speed

37/50

TTFT

30/20

Memory

30/30

qwen3.5:latest

Speed

32/50

TTFT

1/20

Memory

25/30

Quality

vicuna:7b

Reasoning

8/20

Coding

4/20

Instruction

10/20

Structured

12/15

Math

2/15

Multilingual

7/10

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

qwen3.5:latest

Reasoning

6/20

Coding

1/20

Instruction

3/20

Structured

0/15

Math

5/15

Multilingual

8/10

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

View vicuna:7b details | View qwen3.5:latest 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