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Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
90 vs 76
Hardware Fit
97 vs 73
Quality Score
87 vs 77

Hardware

Qwen3.8-27B-UD-Q3_… glm-4.7-flash:bf16
Machine—NVIDIA NVIDIA_DGX_Spark
CPUIntel Gen Intel® Core™ i5-12600KCortex-X925
Cores1620
RAM31 GB122 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Device 2e12
OSUbuntu 24.04.4 LTSUbuntu 24.04.4 LTS
Archx64arm64
Power Modelow-powerperformance

Performance

Qwen3.8-27B-UD-Q3_… glm-4.7-flash:bf16
Tokens/sec39.025.8
First chunk305 ms605 ms
TTFT305 ms605 ms
Load time0.0 s44.2 s
Memory usage12.5 GB57.0 GB
Memory %41%47%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

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

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

Quality

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

glm-4.7-flash:bf16

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View Qwen3.8-27B-UD-Q3_… details | View glm-4.7-flash:bf16 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