meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
qwen3.5:9b
qwen35 · 9.7B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
76 vs 80
Hardware Fit
95 vs 81
Quality Score
68 vs 80
Hardware
meta-llama-3.1-8b-… qwen3.5:9b
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-… qwen3.5:9b
Tokens/sec21.611.8
TTFT512 ms523 ms
Load time0.0 s2.9 s
Memory usage0.0 GB9.1 GB
Memory %0%28%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
qwen3.5:9b
Speed
21/40
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
qwen3.5:9b
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running