Back to leaderboard

aya-expanse:8b

OLLAMA GGUF

command-r · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

Global Score
72 vs 79
Hardware Fit
89 vs 98
Quality Score
65 vs 71

Hardware

aya-expanse:8b ministral-3:8b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

aya-expanse:8b ministral-3:8b
Tokens/sec19.741.4
First chunk350 ms257 ms
TTFT350 ms257 ms
Load time0.9 s5.2 s
Memory usage6.2 GB9.0 GB
Memory %20%38%

HW Fit Score Breakdown

aya-expanse:8b

Speed
39/50
TTFT
20/20
Memory
30/30

ministral-3:8b

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

aya-expanse:8b

Reasoning
10/20
Coding
13/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View aya-expanse:8b details | View ministral-3:8b details

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