qwen3.5:0.8b
qwen35 · 873.44M · Q8_0
Mar 2, 2026 · Apple M4
llama-3.2-3b-instruct
llama · 3B · 4bit
Mar 3, 2026 · Apple M4
Global Score
65 vs 72
Hardware Fit
99 vs 100
Quality Score
51 vs 60
Hardware
qwen3.5:0.8b llama-3.2-3b-instr…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:0.8b llama-3.2-3b-instr…
Tokens/sec48.248.2
TTFT195 ms265 ms
Load time1.0 s0.0 s
Memory usage2.5 GB0.0 GB
Memory %8%0%
HW Fit Score Breakdown
qwen3.5:0.8b
Speed
40/40
TTFT
30/30
Memory
29/30
llama-3.2-3b-instruct
Speed
40/40
TTFT
30/30
Memory
30/30
Quality
qwen3.5:0.8b
Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
llama-3.2-3b-instruct
Reasoning
9/20
Coding
13/20
Instruction
14/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running