meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
qwen3.5:2b
qwen35 · 2.3B · Q8_0
Mar 2, 2026 · Apple M4
Global Score
76 vs 73
Hardware Fit
95 vs 100
Quality Score
68 vs 62
Hardware
meta-llama-3.1-8b-… qwen3.5:2b
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-… qwen3.5:2b
Tokens/sec21.630.4
TTFT512 ms215 ms
Load time0.0 s1.8 s
Memory usage0.0 GB4.5 GB
Memory %0%14%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
qwen3.5:2b
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
qwen3.5:2b
Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running