Back to leaderboard

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

Global Score
89 vs 81
Hardware Fit
88 vs 90
Quality Score
89 vs 77

Hardware

qwen3.8:27b-q8_0 gemma-4-e2b-it-qat
MachineDell Inc. PowerEdge XE8545Docker Container
CPUAMD EPYC 7713 64-Core ProcessorIntel Gen Intel® Core™ i9-11900H
Cores12816
RAM1007 GB15 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]TigerLake-H GT1 [UHD Graphics]
OSRocky Linux 8.10Ubuntu 26.04 LTS
Archx64x64
Power Modeunknownperformance

Performance

qwen3.8:27b-q8_0 gemma-4-e2b-it-qat
Tokens/sec39.922.2
First chunk192 ms67 ms
TTFT192 ms1.1 s
Load time19.0 s5.4 s
Memory usage51.0 GB0.0 GB
Memory %5%0%

HW Fit Score Breakdown

qwen3.8:27b-q8_0

Speed
38/50
TTFT
20/20
Memory
30/30

gemma-4-e2b-it-qat

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

Quality

qwen3.8:27b-q8_0

Reasoning
18/20
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 qwen3.8:27b-q8_0 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