Back to leaderboard

cogito:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen2.5:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Mar 2, 2026 · Apple M4

Global Score
77 vs 57
Hardware Fit
92 vs 100
Quality Score
70 vs 39

Hardware

cogito:8b qwen2.5:0.5b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

cogito:8b qwen2.5:0.5b
Tokens/sec21.0165.0
First chunk312 msN/A
TTFT312 ms81 ms
Load time0.8 s0.5 s
Memory usage10.4 GB1.7 GB
Memory %33%5%

HW Fit Score Breakdown

cogito:8b

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

qwen2.5:0.5b

Speed
40/50
TTFT
30/20
Memory
30/30

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

qwen2.5:0.5b

Reasoning
6/20
Coding
6/20
Instruction
7/20
Structured
11/15
Math
5/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Weak Multilingual: Weak

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