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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
76 vs 77
Hardware Fit
89 vs 100
Quality Score
71 vs 67

Hardware

ministral-3:8b mlx-community/meta…
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b mlx-community/meta…
Tokens/sec19.554.3
First chunk328 ms277 ms
TTFT328 ms277 ms
Load time1.5 sN/A
Memory usage10.6 GB4.2 GB
Memory %33%7%

HW Fit Score Breakdown

ministral-3:8b

Speed
39/50
TTFT
20/20
Memory
30/30

mlx-community/meta-llam…

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

Quality

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

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View ministral-3:8b details | View mlx-community/meta… 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