mistral:7b
OLLAMA GGUFllama · 7.2B · Q4_K_M
Mar 2, 2026 · Apple M4
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
72 vs 69
Hardware Fit
95 vs 95
Quality Score
62 vs 58
Hardware
mistral:7b ornith-1.5:9b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
mistral:7b ornith-1.5:9b
Tokens/sec22.022.2
First chunkN/A341 ms
TTFT261 ms341 ms
Load time0.7 s4.8 s
Memory usage10.1 GB7.1 GB
Memory %32%45%
HW Fit Score Breakdown
mistral:7b
Speed
35/50
TTFT
30/20
Memory
30/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
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
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest