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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
79 vs 18
Hardware Fit
98 vs 59
Quality Score
71 vs 0

Hardware

ministral-3:8b lfm2-24b-a2b
MachineMac miniMac mini
CPUApple M4 ProApple M4 Pro
Cores1214
RAM24 GB64 GB
GPUApple M4 ProApple M4 Pro
OSmacOS 15.6.1macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b lfm2-24b-a2b
Tokens/sec41.46.6
First chunk257 ms1025 ms
TTFT257 ms1.0 s
Load time5.2 sN/A
Memory usage9.0 GB0.0 GB
Memory %38%0%

HW Fit Score Breakdown

ministral-3:8b

Speed
50/50
TTFT
20/20
Memory
28/30

lfm2-24b-a2b

Speed
9/50
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

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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