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mistral:7b

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

lfm2:24b

OLLAMA GGUF

lfm2moe · 23.8B · Q4_K_M

Excellent

Mar 7, 2026 · AMD RYZEN AI MAX+ 395

Global Score
70 vs 88
Hardware Fit
94 vs 100
Quality Score
60 vs 83

Hardware

mistral:7b lfm2:24b
MachineMacBook AirAZW GTR Pro
CPUApple M4AMD RYZEN AI MAX+ 395
Cores1032
RAM32 GB125 GB
GPUApple M4Radeon 8060S
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

mistral:7b lfm2:24b
Tokens/sec22.585.3
First chunk252 ms123 ms
TTFT252 ms123 ms
Load time0.7 s2.9 s
Memory usage10.1 GB14.3 GB
Memory %32%12%

HW Fit Score Breakdown

mistral:7b

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

lfm2:24b

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

Quality

mistral:7b

Reasoning
8/20
Coding
12/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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
View mistral:7b details | View lfm2:24b 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