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tinyllama:1.1b

OLLAMA GGUF

llama · 1B · Q4_0

Marginal

Mar 2, 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
43 vs 83
Hardware Fit
100 vs 90
Quality Score
19 vs 80

Hardware

tinyllama:1.1b 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

tinyllama:1.1b ministral-3-14b-in…
Tokens/sec121.083.7
First chunkN/A16 ms
TTFT82 ms117 ms
Load time0.4 sN/A
Memory usage0.7 GB18.2 GB
Memory %2%60%

HW Fit Score Breakdown

tinyllama:1.1b

Speed
40/50
TTFT
30/20
Memory
30/30

ministral-3-14b-instruc…

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

Quality

tinyllama:1.1b

Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
7/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak

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