mistral:7b
llama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
smollm2:135m
llama · 134.52M · F16
Mar 2, 2026 · Apple M4
Global Score
72 vs 41
Hardware Fit
95 vs 100
Quality Score
62 vs 15
Hardware
mistral:7b smollm2:135m
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b smollm2:135m
Tokens/sec22.0241.0
TTFT261 ms39 ms
Load time0.7 s0.4 s
Memory usage10.1 GB0.6 GB
Memory %32%2%
HW Fit Score Breakdown
mistral:7b
Speed
35/40
TTFT
30/30
Memory
30/30
smollm2:135m
Speed
40/40
TTFT
30/30
Memory
30/30
Quality
mistral:7b
Reasoning
8/20
Coding
12/20
Instruction
15/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
smollm2:135m
Reasoning
4/20
Coding
1/20
Instruction
6/20
Structured
2/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running