Back to leaderboard

ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

lfm2.5:latest

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Good

Jun 20, 2026 · AMD RYZEN AI MAX+ 395

Global Score
72 vs 79
Hardware Fit
71 vs 100
Quality Score
72 vs 70

Hardware

ministral-3:8b lfm2.5:latest
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M1 ProRadeon 8060S
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

ministral-3:8b lfm2.5:latest
Tokens/sec19.8134.4
First chunk269 ms226 ms
TTFT269 ms226 ms
Load time10.7 s1.8 s
Memory usage13.7 GB6.9 GB
Memory %86%6%

HW Fit Score Breakdown

ministral-3:8b

Speed
44/50
TTFT
20/20
Memory
7/30

lfm2.5:latest

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

Quality

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

lfm2.5:latest

Reasoning
2/20
Coding
11/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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