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deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen3.5-9b

LM-STUDIO GGUF

qwen35 · 9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4 Pro

Global Score
77 vs 72
Hardware Fit
94 vs 89
Quality Score
70 vs 65

Hardware

deepseek-r1:7b qwen3.5-9b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

deepseek-r1:7b qwen3.5-9b
Tokens/sec22.228.9
First chunk285 ms338 ms
TTFT285 ms338 ms
Load time0.8 sN/A
Memory usage7.6 GB6.1 GB
Memory %24%10%

HW Fit Score Breakdown

deepseek-r1:7b

Speed
44/50
TTFT
20/20
Memory
30/30

qwen3.5-9b

Speed
39/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.5-9b

Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest