Back to leaderboard

cogito:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

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

Global Score
77 vs 83
Hardware Fit
92 vs 90
Quality Score
70 vs 80

Hardware

cogito:8b ministral-3-14b-in…
MachineMacBook AirASUS
CPUApple M4AMD Ryzen 7 7800X3D 8-Core Processor
Cores1016
RAM32 GB31 GB
GPUApple M4NVIDIA GeForce RTX 4090, Raphael
OSmacOS 26.3cachyos rolling
Archarm64x64
Power Modebalancedlow-power

Performance

cogito:8b ministral-3-14b-in…
Tokens/sec21.083.7
First chunk312 ms16 ms
TTFT312 ms117 ms
Load time0.8 sN/A
Memory usage10.4 GB18.2 GB
Memory %33%60%

HW Fit Score Breakdown

cogito:8b

Speed
42/50
TTFT
20/20
Memory
30/30

ministral-3-14b-instruc…

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

Quality

cogito:8b

Reasoning
14/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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

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