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llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

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

Hardware

llama-3.1-8b-instr… ministral-3:8b
MachineASUSMac mini
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1212
RAM31 GB24 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M4 Pro
OSNobara Linux 43macOS 15.6.1
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… ministral-3:8b
Tokens/sec35.641.4
First chunk52 ms257 ms
TTFT256 ms257 ms
Load timeN/A5.2 s
Memory usage8.6 GB9.0 GB
Memory %28%38%

HW Fit Score Breakdown

llama-3.1-8b-instruct

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

ministral-3:8b

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

Quality

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

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 llama-3.1-8b-instr… 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