Back to leaderboard

qwen3:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

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

gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

Global Score
86 vs 79
Hardware Fit
98 vs 81
Quality Score
81 vs 78

Hardware

qwen3:30b gemma-4-e2b-it@q5_…
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

qwen3:30b gemma-4-e2b-it@q5_…
Tokens/sec204.817.2
First chunk96 ms7 ms
TTFT674 ms1.6 s
Load time5.2 s8.9 s
Memory usage20.5 GB0.0 GB
Memory %43%0%

HW Fit Score Breakdown

qwen3:30b

Speed
50/50
TTFT
20/20
Memory
28/30

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

Quality

qwen3:30b

Reasoning
16/20
Coding
12/20
Instruction
17/20
Structured
12/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
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 qwen3:30b details | View gemma-4-e2b-it@q5_… 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