mistral-nemo:12b
llama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
phi3:3.8b
phi3 · 3.8B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
71 vs 64
Hardware Fit
86 vs 100
Quality Score
65 vs 48
Hardware
mistral-nemo:12b phi3:3.8b
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 phi3:3.8b
Tokens/sec14.642.0
TTFT371 ms142 ms
Load time1.0 s1.1 s
Memory usage13.3 GB16.0 GB
Memory %42%50%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/40
TTFT
30/30
Memory
30/30
phi3:3.8b
Speed
40/40
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
phi3:3.8b
Reasoning
12/20
Coding
3/20
Instruction
11/20
Structured
10/15
Math
5/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Weak Multilingual: Adequate
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running