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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

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

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

Hardware

glm-4.7-flash:bf16 Qwen3.8-27B-UD-Q3_…
MachineNVIDIA NVIDIA_DGX_Spark—
CPUCortex-X925Intel Gen Intel® Core™ i5-12600K
Cores2016
RAM122 GB31 GB
GPUDevice 2e12AlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSUbuntu 24.04.4 LTSUbuntu 24.04.4 LTS
Archarm64x64
Power Modeperformancelow-power

Performance

glm-4.7-flash:bf16 Qwen3.8-27B-UD-Q3_…
Tokens/sec25.839.0
First chunk605 ms305 ms
TTFT605 ms305 ms
Load time44.2 s0.0 s
Memory usage57.0 GB12.5 GB
Memory %47%41%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

Qwen3.8-27B-UD-Q3_K_XL

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

Quality

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

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
View glm-4.7-flash:bf16 details | View Qwen3.8-27B-UD-Q3_… 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