mistral:7b
llama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
72 vs 59
Hardware Fit
95 vs 84
Quality Score
62 vs 48
Hardware
mistral:7b 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:7b vicuna:13b
Tokens/sec22.013.4
TTFT261 ms438 ms
Load time0.7 s0.6 s
Memory usage10.1 GB10.3 GB
Memory %32%32%
HW Fit Score Breakdown
mistral:7b
Speed
35/40
TTFT
30/30
Memory
30/30
vicuna:13b
Speed
24/40
TTFT
30/30
Memory
30/30
Quality
mistral:7b
Reasoning
8/20
Coding
12/20
Instruction
15/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak 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