Back to leaderboard

ministral-3-14b-instruct-2512

LM-STUDIO GGUF

mistral3 · 14B · Q5_K_M

Excellent

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

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score
83 vs 52
Hardware Fit
90 vs 100
Quality Score
80 vs 32

Hardware

ministral-3-14b-in… smollm2-360m-instr…
MachineASUSMacBook Air
CPUAMD Ryzen 7 7800X3D 8-Core ProcessorApple M4
Cores1610
RAM31 GB32 GB
GPUNVIDIA GeForce RTX 4090, RaphaelApple M4
OScachyos rollingmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced

Performance

ministral-3-14b-in… smollm2-360m-instr…
Tokens/sec83.7121.1
First chunk16 ms106 ms
TTFT117 ms106 ms
Load timeN/AN/A
Memory usage18.2 GB0.7 GB
Memory %60%2%

HW Fit Score Breakdown

ministral-3-14b-instruc…

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

smollm2-360m-instruct

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

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

smollm2-360m-instruct

Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak

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