Back to leaderboard

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

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

Global Score
85 vs 82
Hardware Fit
77 vs 56
Quality Score
88 vs 93

Hardware

qwen3.8:27b-bf16 google/gemma-4-26b…
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-bf16 google/gemma-4-26b…
Tokens/sec27.212.0
First chunk237 ms86 ms
TTFT237 ms2.8 s
Load time43.8 s57.2 s
Memory usage68.8 GB9.1 GB
Memory %7%59%

HW Fit Score Breakdown

qwen3.8:27b-bf16

Speed
27/50
TTFT
20/20
Memory
30/30

google/gemma-4-26b-a4b-…

Speed
22/50
TTFT
14/20
Memory
20/30

Quality

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
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

google/gemma-4-26b-a4b-…

Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.8:27b-bf16 details | View google/gemma-4-26b… 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