Back to leaderboard

lfm2:24b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Excellent

Mar 7, 2026 · AMD RYZEN AI MAX+ 395

ministral-3:3b

OLLAMA GGUF

mistral3 · 3.8B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
88 vs 71
Hardware Fit
100 vs 99
Quality Score
83 vs 59

Hardware

lfm2:24b ministral-3:3b
MachineAZW GTR ProMacBook Air
CPUAMD RYZEN AI MAX+ 395Apple M4
Cores3210
RAM125 GB32 GB
GPURadeon 8060SApple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

lfm2:24b ministral-3:3b
Tokens/sec85.342.2
First chunk123 ms189 ms
TTFT123 ms189 ms
Load time2.9 s1.2 s
Memory usage14.3 GB7.0 GB
Memory %12%22%

HW Fit Score Breakdown

lfm2:24b

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

ministral-3:3b

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

Quality

lfm2:24b

Reasoning
14/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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
View lfm2:24b details | View ministral-3:3b 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