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meta-llama-3.1-8b-instruct

llama · 8B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen3.5:4b

qwen35 · 4.7B · Q4_K_M

Excellent

Mar 2, 2026 · Apple M4

Global Score
76 vs 80
Hardware Fit
95 vs 88
Quality Score
68 vs 76

Hardware

meta-llama-3.1-8b-… qwen3.5:4b
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-… qwen3.5:4b
Tokens/sec21.616.6
TTFT512 ms369 ms
Load time0.0 s1.5 s
Memory usage0.0 GB6.5 GB
Memory %0%20%

HW Fit Score Breakdown

meta-llama-3.1-8b-instr…

Speed
35/40
TTFT
30/30
Memory
30/30

qwen3.5:4b

Speed
28/40
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

qwen3.5:4b

Reasoning
16/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View meta-llama-3.1-8b-… details | View qwen3.5:4b details

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running