qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
deepseek-r1:7b
OLLAMA GGUFqwen2 · 7.6B · Q4_K_M
Mar 6, 2026 · Apple M4
Global Score
85 vs 77
Hardware Fit
95 vs 94
Quality Score
80 vs 70
Hardware
qwen3.5:9b deepseek-r1:7b
MachineMacBook ProMacBook Air
CPUApple M1 MaxApple M4
Cores1010
RAM32 GB32 GB
GPUApple M1 MaxApple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.5:9b deepseek-r1:7b
Tokens/sec23.122.2
First chunk358 ms285 ms
TTFT358 ms285 ms
Load time3.6 s0.8 s
Memory usage9.1 GB7.6 GB
Memory %28%24%
HW Fit Score Breakdown
qwen3.5:9b
Speed
45/50
TTFT
20/20
Memory
30/30
deepseek-r1:7b
Speed
44/50
TTFT
20/20
Memory
30/30
Quality
qwen3.5:9b
Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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