deepseek-v2:16b
OLLAMA GGUFdeepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 5, 2026 · Apple M1 Max
Global Score
69 vs 62
Hardware Fit
100 vs 100
Quality Score
55 vs 46
Hardware
deepseek-v2:16b qwen3.5:0.8b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Max
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M1 Max
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-v2:16b qwen3.5:0.8b
Tokens/sec56.665.8
First chunkN/A230 ms
TTFT239 ms230 ms
Load time1.2 s1.5 s
Memory usage17.7 GB2.6 GB
Memory %55%8%
HW Fit Score Breakdown
deepseek-v2:16b
Speed
40/50
TTFT
30/20
Memory
30/30
qwen3.5:0.8b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
deepseek-v2:16b
Reasoning
7/20
Coding
9/20
Instruction
13/20
Structured
10/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
qwen3.5:0.8b
Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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