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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
85 vs 78
Hardware Fit
95 vs 68
Quality Score
80 vs 82

Hardware

qwen3.5:9b google/gemma-4-e4b…
MachineMacBook ProDocker Container
CPUApple M1 MaxIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M1 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen3.5:9b google/gemma-4-e4b…
Tokens/sec23.111.4
First chunk358 ms26 ms
TTFT358 ms2.2 s
Load time3.6 s5.9 s
Memory usage9.1 GB0.0 GB
Memory %28%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed
45/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
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

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3.5:9b details | View google/gemma-4-e4b… 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