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llama3.1:8b

llama · 8.0B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

vicuna:13b

llama · 13B · Q4_0

Good

Mar 1, 2026 · Apple M4

Global Score
77 vs 62
Hardware Fit
93 vs 84
Quality Score
67 vs 48

Hardware

llama3.1:8b vicuna:13b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

llama3.1:8b vicuna:13b
Tokens/sec20.313.4
TTFT315 ms438 ms
Load time1.1 s0.6 s
Memory usage10.4 GB10.3 GB
Memory %33%32%

HW Fit Score Breakdown

llama3.1:8b

Speed
33/40
TTFT
30/30
Memory
30/30

vicuna:13b

Speed
24/40
TTFT
30/30
Memory
30/30

Quality

llama3.1:8b

Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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 bench

Requires Node 20+ and Ollama or LM Studio running