ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
deepseek-r1:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
69 vs 77
Hardware Fit
95 vs 94
Quality Score
58 vs 70
Hardware
ornith-1.5:9b deepseek-r1:7b
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 deepseek-r1:7b
Tokens/sec22.222.2
First chunk341 ms285 ms
TTFT341 ms285 ms
Load time4.8 s0.8 s
Memory usage7.1 GB7.6 GB
Memory %45%24%
HW Fit Score Breakdown
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
deepseek-r1:7b
Speed
44/50
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
deepseek-r1:7b
Reasoning
14/20
Coding
12/20
Instruction
10/20
Structured
12/15
Math
15/15
Multilingual
7/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate
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