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qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

Global Score
90 vs 81
Hardware Fit
96 vs 90
Quality Score
87 vs 77

Hardware

qwen3-coder:30b gemma-4-e2b-it-qat
MachineASUSDocker Container
CPUIntel Core™ Ultra 9 285KIntel Gen Intel® Core™ i9-11900H
Cores2416
RAM47 GB15 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsTigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3-coder:30b gemma-4-e2b-it-qat
Tokens/sec207.922.2
First chunk513 ms67 ms
TTFT513 ms1.1 s
Load time4.9 s5.4 s
Memory usage20.5 GB0.0 GB
Memory %43%0%

HW Fit Score Breakdown

qwen3-coder:30b

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

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

Quality

qwen3-coder:30b

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

gemma-4-e2b-it-qat

Reasoning
10/20
Coding
17/20
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-coder:30b details | View gemma-4-e2b-it-qat 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