cogito:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Mar 6, 2026 · Apple M4
qwen/qwen3.6-35b-a3b
LM-STUDIO MLXqwen3_5_moe · 35B · 4bit
Oct 20, 2026 · Apple M1 Pro
Global Score
77 vs 84
Hardware Fit
92 vs 78
Quality Score
70 vs 86
Hardware
cogito:8b qwen/qwen3.6-35b-a3b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
cogito:8b qwen/qwen3.6-35b-a3b
Tokens/sec21.049.9
First chunk312 ms31 ms
TTFT312 ms708 ms
Load time0.8 sN/A
Memory usage10.4 GB26.6 GB
Memory %33%83%
HW Fit Score Breakdown
cogito:8b
Speed
42/50
TTFT
20/20
Memory
30/30
qwen/qwen3.6-35b-a3b
Speed
50/50
TTFT
20/20
Memory
8/30
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
qwen/qwen3.6-35b-a3b
Reasoning
15/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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