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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.0B · Q4_K_M

Excellent

Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score
85 vs 76
Hardware Fit
100 vs 100
Quality Score
79 vs 66

Hardware

qwen3.5:9b google/gemma-3-4b
MachineMicro-Star International Co., Ltd. Stealth GS77 12UHMacBook Air
CPUIntel Gen Intel® Core™ i9-12900HApple M4
Cores2010
RAM32 GB32 GB
GPUIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPUApple M4
OSMicrosoft Windows 11 Home 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b google/gemma-3-4b
Tokens/sec41.439.4
First chunk162 ms468 ms
TTFT162 ms468 ms
Load time8.1 sN/A
Memory usage5.9 GB2.8 GB
Memory %19%9%

HW Fit Score Breakdown

qwen3.5:9b

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

google/gemma-3-4b

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

Quality

qwen3.5:9b

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

google/gemma-3-4b

Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5:9b details | View google/gemma-3-4b details

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