llama3.1:8b
llama · 8.0B · Q4_K_M
Feb 28, 2026 · Apple M4 Pro
vicuna:13b
llama · 13B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
66 vs 59
Hardware Fit
56 vs 84
Quality Score
70 vs 48
Hardware
llama3.1:8b vicuna:13b
MachineMac MiniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modeunknownbalanced
Performance
llama3.1:8b vicuna:13b
Tokens/sec5.513.4
TTFT1.4 s438 ms
Load time3.7 s0.6 s
Memory usage28.6 GB10.3 GB
Memory %45%32%
HW Fit Score Breakdown
llama3.1:8b
Speed
5/40
TTFT
22/30
Memory
29/30
vicuna:13b
Speed
24/40
TTFT
30/30
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
17/20
Instruction
14/20
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 benchRequires Node 20+ and Ollama or LM Studio running