Back to leaderboard

rnj-1:8b

OLLAMA GGUF

gemma3 · 8.3B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

ministral-3:3b

OLLAMA GGUF

mistral3 · 3.8B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
80 vs 71
Hardware Fit
93 vs 99
Quality Score
74 vs 59

Hardware

rnj-1:8b ministral-3:3b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

rnj-1:8b ministral-3:3b
Tokens/sec22.342.2
First chunk404 ms189 ms
TTFT404 ms189 ms
Load time3.7 s1.2 s
Memory usage8.3 GB7.0 GB
Memory %52%22%

HW Fit Score Breakdown

rnj-1:8b

Speed
49/50
TTFT
20/20
Memory
24/30

ministral-3:3b

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

rnj-1:8b

Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong Multilingual: Strong

ministral-3:3b

Reasoning
5/20
Coding
16/20
Instruction
11/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Strong Instruction Following: Adequate 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