mistral-nemo:12b
llama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
vicuna:7b
llama · 7B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
73 vs 65
Hardware Fit
86 vs 97
Quality Score
65 vs 43
Hardware
mistral-nemo:12b vicuna:7b
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:7b
Tokens/sec14.623.4
TTFT371 ms242 ms
Load time1.0 s0.4 s
Memory usage13.3 GB5.8 GB
Memory %42%18%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/40
TTFT
30/30
Memory
30/30
vicuna:7b
Speed
37/40
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:7b
Reasoning
8/20
Coding
4/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running