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ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

Jul 4, 2026 · AMD Ryzen 7 7800X3D 8-Core Processor

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Marginal

Jun 26, 2026 · Cortex-A78AE

Global Score
83 vs 46
Hardware Fit
90 vs 61
Quality Score
80 vs 40

Hardware

ministral-3-14b-in… llama3.1:8b
MachineASUSNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorCortex-A78AE
Cores166
RAM31 GB7 GB
GPUNVIDIA GeForce RTX 4090, RaphaelIntegrated / Unknown
OScachyos rollingUbuntu 22.04.5 LTS
Archx64arm64
Power Modelow-powerbalanced

Performance

ministral-3-14b-in… llama3.1:8b
Tokens/sec83.77.8
First chunk16 ms1625 ms
TTFT117 ms1.6 s
Load timeN/A21.8 s
Memory usage18.2 GB5.2 GB
Memory %60%71%

HW Fit Score Breakdown

ministral-3-14b-instruc…

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

llama3.1:8b

Speed
26/50
TTFT
20/20
Memory
15/30

Quality

ministral-3-14b-instruc…

Reasoning
17/20
Coding
17/20
Instruction
15/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

llama3.1:8b

Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong

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