deepseek-v2:16b
deepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
69 vs 59
Hardware Fit
100 vs 84
Quality Score
55 vs 48
Hardware
deepseek-v2:16b vicuna:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-v2:16b vicuna:13b
Tokens/sec56.613.4
TTFT239 ms438 ms
Load time1.2 s0.6 s
Memory usage17.7 GB10.3 GB
Memory %55%32%
HW Fit Score Breakdown
deepseek-v2:16b
Speed
40/40
TTFT
30/30
Memory
30/30
vicuna:13b
Speed
24/40
TTFT
30/30
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
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
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running