smollm2:1.7b
llama · 1.7B · Q8_0
Mar 2, 2026 · Apple M4
mistral-nemo:12b
llama · 12.2B · Q4_0
Mar 1, 2026 · Apple M4
Global Score
69 vs 73
Hardware Fit
100 vs 86
Quality Score
49 vs 65
Hardware
smollm2:1.7b mistral-nemo:12b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
smollm2:1.7b mistral-nemo:12b
Tokens/sec51.814.6
TTFT84 ms371 ms
Load time0.4 s1.0 s
Memory usage3.7 GB13.3 GB
Memory %12%42%
HW Fit Score Breakdown
smollm2:1.7b
Speed
40/40
TTFT
30/30
Memory
30/30
mistral-nemo:12b
Speed
26/40
TTFT
30/30
Memory
30/30
Quality
smollm2:1.7b
Reasoning
7/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running