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

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
89 vs 59
Hardware Fit
88 vs 84
Quality Score
89 vs 48

Hardware

qwen3.8:27b-q8_0 vicuna:13b
MachineDell Inc. PowerEdge XE8545MacBook Air
CPUAMD EPYC 7713 64-Core ProcessorApple M4
Cores12810
RAM1007 GB32 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M4
OSRocky Linux 8.10macOS 26.3
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.8:27b-q8_0 vicuna:13b
Tokens/sec40.013.4
First chunk177 msN/A
TTFT177 ms438 ms
Load time24.7 s0.6 s
Memory usage51.0 GB10.3 GB
Memory %5%32%

HW Fit Score Breakdown

qwen3.8:27b-q8_0

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

vicuna:13b

Speed
24/50
TTFT
30/20
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

vicuna:13b

Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen3.8:27b-q8_0 details | View vicuna:13b 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