mistral-nemo:12b
llama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
73 vs 62
Hardware Fit
86 vs 84
Quality Score
65 vs 48
Hardware
mistral-nemo:12b vicuna:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral-nemo:12b vicuna:13b
Tokens/sec14.613.4
TTFT371 ms438 ms
Load time1.0 s0.6 s
Memory usage13.3 GB10.3 GB
Memory %42%32%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/40
TTFT
30/30
Memory
30/30
vicuna:13b
Speed
24/40
TTFT
30/30
Memory
30/30
Quality
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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