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vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Marginal

Mar 5, 2026 · Apple M4

Global Score
59 vs 48
Hardware Fit
97 vs 77
Quality Score
43 vs 35

Hardware

vicuna:7b qwen3.5:4b
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

vicuna:7b qwen3.5:4b
Tokens/sec23.418.9
First chunkN/A316 ms
TTFT242 ms13.0 s
Load time0.4 s3.7 s
Memory usage5.8 GB5.9 GB
Memory %18%37%

HW Fit Score Breakdown

vicuna:7b

Speed
37/50
TTFT
30/20
Memory
30/30

qwen3.5:4b

Speed
43/50
TTFT
4/20
Memory
30/30

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

qwen3.5:4b

Reasoning
10/20
Coding
1/20
Instruction
4/20
Structured
3/15
Math
8/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Adequate Multilingual: Strong
View vicuna:7b details | View qwen3.5:4b 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