mistral-nemo:12b
llama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
qwen3.5:0.8b
qwen35 · 873.44M · Q8_0
Mar 2, 2026 · Apple M4
Global Score
73 vs 70
Hardware Fit
86 vs 99
Quality Score
65 vs 51
Hardware
mistral-nemo:12b qwen3.5:0.8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral-nemo:12b qwen3.5:0.8b
Tokens/sec14.648.2
TTFT371 ms195 ms
Load time1.0 s1.0 s
Memory usage13.3 GB2.5 GB
Memory %42%8%
HW Fit Score Breakdown
mistral-nemo:12b
Speed
26/40
TTFT
30/30
Memory
30/30
qwen3.5:0.8b
Speed
40/40
TTFT
30/30
Memory
29/30
Quality
mistral-nemo:12b
Reasoning
12/20
Coding
13/20
Instruction
11/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
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
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running