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qwen3.5:9b-q8_0

OLLAMA GGUF

qwen35 · 9.7B · Q8_0

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

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

Hardware

qwen3.5:9b-q8_0 glm-4.7-flash:bf16
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i5-14400FCortex-X925
Cores1620
RAM32 GB122 GB
GPUNVIDIA GeForce RTX 5060 TiDevice 2e12
OSMicrosoft Windows 11 Professionnel 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

qwen3.5:9b-q8_0 glm-4.7-flash:bf16
Tokens/sec37.725.8
First chunk120 ms605 ms
TTFT120 ms605 ms
Load time8.3 s44.2 s
Memory usage8.4 GB57.0 GB
Memory %26%47%

HW Fit Score Breakdown

qwen3.5:9b-q8_0

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

glm-4.7-flash:bf16

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

Quality

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

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 qwen3.5:9b-q8_0 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