meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
qwen3:4b
qwen3 · 4.0B · Q4_K_M
Mar 1, 2026 · Apple M4
Global Score
76 vs 47
Hardware Fit
95 vs 53
Quality Score
68 vs 45
Hardware
meta-llama-3.1-8b-… qwen3:4b
MachineMacBook Air—
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedunknown
Performance
meta-llama-3.1-8b-… qwen3:4b
Tokens/sec21.611.3
TTFT512 ms9.2 s
Load time0.0 s0.1 s
Memory usage0.0 GB7.2 GB
Memory %0%23%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
qwen3:4b
Speed
17/40
TTFT
6/30
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
qwen3:4b
Reasoning
4/20
Coding
6/20
Instruction
8/20
Structured
6/15
Math
12/15
Multilingual
9/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running