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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
79 vs 81
Hardware Fit
98 vs 100
Quality Score
71 vs 73

Hardware

ministral-3:8b llama-3.1-8b-instr…
MachineMac miniASUS
CPUApple M4 ProAMD Ryzen 5 5500
Cores1212
RAM24 GB31 GB
GPUApple M4 ProNavi 44 [Radeon RX 9060 XT]
OSmacOS 15.6.1Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

ministral-3:8b llama-3.1-8b-instr…
Tokens/sec41.435.6
First chunk257 ms52 ms
TTFT257 ms256 ms
Load time5.2 sN/A
Memory usage9.0 GB8.6 GB
Memory %38%28%

HW Fit Score Breakdown

ministral-3:8b

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

llama-3.1-8b-instruct

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

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View ministral-3:8b details | View llama-3.1-8b-instr… details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest