ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
mistralai/magistral-small-2509
LM-STUDIO MLXmistral3 · 24B · 4bit
Mar 4, 2026 · Apple M4
Global Score
69 vs 74
Hardware Fit
95 vs 66
Quality Score
58 vs 78
Hardware
ornith-1.5:9b mistralai/magistra…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
ornith-1.5:9b mistralai/magistra…
Tokens/sec22.27.9
First chunk341 ms1356 ms
TTFT341 ms1.4 s
Load time4.8 sN/A
Memory usage7.1 GB13.2 GB
Memory %45%41%
HW Fit Score Breakdown
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
mistralai/magistral-sma…
Speed
16/50
TTFT
20/20
Memory
30/30
Quality
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
mistralai/magistral-sma…
Reasoning
14/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
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