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meta-llama-3.1-8b-instruct

llama · 8B · 4bit

Good

Mar 3, 2026 · Apple M4

qwen2.5:1.5b

qwen2 · 1.5B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
76 vs 70
Hardware Fit
95 vs 100
Quality Score
68 vs 57

Hardware

meta-llama-3.1-8b-… qwen2.5:1.5b
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-… qwen2.5:1.5b
Tokens/sec21.684.1
TTFT512 ms119 ms
Load time0.0 s0.5 s
Memory usage0.0 GB2.6 GB
Memory %0%8%

HW Fit Score Breakdown

meta-llama-3.1-8b-instr…

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

qwen2.5:1.5b

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

qwen2.5:1.5b

Reasoning
8/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View meta-llama-3.1-8b-… details | View qwen2.5:1.5b details

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running