vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
deepseek-v2:16b
deepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
59 vs 69
Hardware Fit
84 vs 100
Quality Score
48 vs 55
Hardware
vicuna:13b deepseek-v2:16b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
vicuna:13b deepseek-v2:16b
Tokens/sec13.456.6
TTFT438 ms239 ms
Load time0.6 s1.2 s
Memory usage10.3 GB17.7 GB
Memory %32%55%
HW Fit Score Breakdown
vicuna:13b
Speed
24/40
TTFT
30/30
Memory
30/30
deepseek-v2:16b
Speed
40/40
TTFT
30/30
Memory
30/30
Quality
vicuna:13b
Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running