Back to leaderboard

cogito:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

gemma4:e2b-mlx

OLLAMA GGUF
Not Rec.

Aug 26, 2026 · Apple M1 Pro

Global Score
77 vs 88
Hardware Fit
92 vs 79
Quality Score
70 vs 92

Hardware

cogito:8b gemma4:e2b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

cogito:8b gemma4:e2b-mlx
Tokens/sec21.072.8
First chunk312 ms134 ms
TTFT312 ms30.0 s
Load time0.8 s2.6 s
Memory usage10.4 GB5.7 GB
Memory %33%36%

HW Fit Score Breakdown

cogito:8b

Speed
42/50
TTFT
20/20
Memory
30/30

gemma4:e2b-mlx

Speed
50/50
TTFT
0/20
Memory
29/30

Quality

cogito:8b

Reasoning
14/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

gemma4:e2b-mlx

Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View cogito:8b details | View gemma4:e2b-mlx 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