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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

Global Score
76 vs 86
Hardware Fit
73 vs 100
Quality Score
77 vs 80

Hardware

glm-4.7-flash:bf16 qwen3.5:9b-q8_0
MachineNVIDIA NVIDIA_DGX_SparkGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4
CPUCortex-X925Intel Core™ i5-14400F
Cores2016
RAM122 GB32 GB
GPUDevice 2e12NVIDIA GeForce RTX 5060 Ti
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Professionnel 10.0.26200
Archarm64x64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 qwen3.5:9b-q8_0
Tokens/sec25.837.7
First chunk605 ms120 ms
TTFT605 ms120 ms
Load time44.2 s8.3 s
Memory usage57.0 GB8.4 GB
Memory %47%26%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

qwen3.5:9b-q8_0

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

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

qwen3.5:9b-q8_0

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.7-flash:bf16 details | View qwen3.5:9b-q8_0 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