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vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
59 vs 76
Hardware Fit
97 vs 89
Quality Score
43 vs 71

Hardware

vicuna:7b ministral-3:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

vicuna:7b ministral-3:8b
Tokens/sec23.419.5
First chunkN/A328 ms
TTFT242 ms328 ms
Load time0.4 s1.5 s
Memory usage5.8 GB10.6 GB
Memory %18%33%

HW Fit Score Breakdown

vicuna:7b

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

ministral-3:8b

Speed
39/50
TTFT
20/20
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

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View vicuna:7b details | View ministral-3:8b 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