mistral:7b
llama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
deepseek-v2:16b
deepseek2 · 15.7B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
75 vs 73
Hardware Fit
95 vs 100
Quality Score
62 vs 55
Hardware
mistral:7b deepseek-v2:16b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b deepseek-v2:16b
Tokens/sec22.056.6
TTFT261 ms239 ms
Load time0.7 s1.2 s
Memory usage10.1 GB17.7 GB
Memory %32%55%
HW Fit Score Breakdown
mistral:7b
Speed
35/40
TTFT
30/30
Memory
30/30
deepseek-v2:16b
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
deepseek-v2:16b
Reasoning
7/20
Coding
9/20
Instruction
13/20
Structured
10/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running