meta-llama-3.1-8b-instruct

llama · 8B · 4bit

Good

Mar 3, 2026 · Apple M4

phi3:3.8b

phi3 · 3.8B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score

76 vs 64

Hardware Fit

95 vs 100

Quality Score

68 vs 48

Hardware

meta-llama-3.1-8b-… 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

meta-llama-3.1-8b-… phi3:3.8b

Tokens/sec21.642.0

TTFT512 ms142 ms

Load time0.0 s1.1 s

Memory usage0.0 GB16.0 GB

Memory %0%50%

HW Fit Score Breakdown

meta-llama-3.1-8b-instr…

Speed

35/40

TTFT

30/30

Memory

30/30

phi3:3.8b

Speed

40/40

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

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

View meta-llama-3.1-8b-… details | View phi3:3.8b details

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running