mistral:7b
llama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
smollm2:360m
llama · 361.82M · F16
Mar 2, 2026 · Apple M4
Global Score
72 vs 52
Hardware Fit
95 vs 100
Quality Score
62 vs 32
Hardware
mistral:7b smollm2:360m
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b smollm2:360m
Tokens/sec22.0117.9
TTFT261 ms43 ms
Load time0.7 s0.4 s
Memory usage10.1 GB1.2 GB
Memory %32%4%
HW Fit Score Breakdown
mistral:7b
Speed
35/40
TTFT
30/30
Memory
30/30
smollm2:360m
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
smollm2:360m
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
9/15
Math
4/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running