meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
phi4:14b
phi3 · 14.7B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
76 vs 75
Hardware Fit
95 vs 79
Quality Score
68 vs 73
Hardware
meta-llama-3.1-8b-… phi4:14b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
meta-llama-3.1-8b-… phi4:14b
Tokens/sec21.611.0
TTFT512 ms532 ms
Load time0.0 s0.7 s
Memory usage0.0 GB13.4 GB
Memory %0%42%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
phi4:14b
Speed
19/40
TTFT
30/30
Memory
30/30
Quality
meta-llama-3.1-8b-instr…
Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
phi4:14b
Reasoning
15/20
Coding
18/20
Instruction
10/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running