gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3-next-80b-t48:latest
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Jul 31, 2026 · Intel Xeon® E5-4620 0
Global Score
81 vs 70
Hardware Fit
90 vs 39
Quality Score
77 vs 83
Hardware
gemma-4-e2b-it-qat qwen3-next-80b-t48…
MachineDocker ContainerDell Inc. PowerEdge R820
CPUIntel Gen Intel® Core™ i9-11900HIntel Xeon® E5-4620 0
Cores1664
RAM15 GB256 GB
GPUTigerLake-H GT1 [UHD Graphics]Microsoft Remote Display Adapter, Microsoft Basic Display Adapter
OSUbuntu 26.04 LTSMicrosoft Windows Server 2022 Datacenter 10.0.20348
Archx64x64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat qwen3-next-80b-t48…
Tokens/sec22.23.0
First chunk67 ms3265 ms
TTFT1.1 s3.3 s
Load time5.4 s82.1 s
Memory usage0.0 GB46.9 GB
Memory %0%18%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
qwen3-next-80b-t48:latest
Speed
3/50
TTFT
6/20
Memory
30/30
Quality
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
qwen3-next-80b-t48:latest
Reasoning
18/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest