cogito:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen36-distill-apex
OLLAMA GGUFJul 17, 2026 · Apple M5 Max
Global Score
77 vs 36
Hardware Fit
92 vs 100
Quality Score
70 vs 8
Hardware
cogito:8b qwen36-distill-apex
MachineMacBook AirMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM32 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.3macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
cogito:8b qwen36-distill-apex
Tokens/sec21.055.2
First chunk312 ms210 ms
TTFT312 ms210 ms
Load time0.8 s4.8 s
Memory usage10.4 GB0.9 GB
Memory %33%2%
HW Fit Score Breakdown
cogito:8b
Speed
42/50
TTFT
20/20
Memory
30/30
qwen36-distill-apex
Speed
50/50
TTFT
20/20
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
qwen36-distill-apex
Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest