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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 7, 2026 · Intel Core™ i5-14600KF

gemma4:12b

OLLAMA GGUF

gemma4 · 11.9B · Q4_K_M

Not Rec.

Aug 22, 2026 · Apple M1 Pro

Global Score
85 vs 63
Hardware Fit
96 vs 62
Quality Score
80 vs 63

Hardware

qwen3.5:9b gemma4:12b
MachineASUSMacBook Pro
CPUIntel Core™ i5-14600KFApple M1 Pro
Cores2010
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M1 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b gemma4:12b
Tokens/sec88.615.3
First chunk306 ms1142 ms
TTFT306 ms30.0 s
Load time7.0 s5.4 s
Memory usage8.1 GB7.6 GB
Memory %25%47%

HW Fit Score Breakdown

qwen3.5:9b

Speed
50/50
TTFT
20/20
Memory
26/30

gemma4:12b

Speed
36/50
TTFT
0/20
Memory
26/30

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

gemma4:12b

Reasoning
10/20
Coding
10/20
Instruction
9/20
Structured
14/15
Math
10/15
Multilingual
10/10
Reasoning: Weak Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Adequate 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