qwen3.5-9b-64k:latest
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Oct 31, 2026 · Intel Gen Intel® Core™ i9-12900H
glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
Global Score
75 vs 76
Hardware Fit
68 vs 73
Quality Score
78 vs 77
Hardware
qwen3.5-9b-64k:lat… glm-4.7-flash:bf16
MachineMicro-Star International Co., Ltd. Stealth GS77 12UHNVIDIA NVIDIA_DGX_Spark
CPUIntel Gen Intel® Core™ i9-12900HCortex-X925
Cores2020
RAM32 GB122 GB
GPUIntel(R) Iris(R) Xe Graphics, NVIDIA GeForce RTX 3080 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 Home 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance
Performance
qwen3.5-9b-64k:lat… glm-4.7-flash:bf16
Tokens/sec12.625.8
First chunk586 ms605 ms
TTFT586 ms605 ms
Load time15.0 s44.2 s
Memory usage8.1 GB57.0 GB
Memory %26%47%
HW Fit Score Breakdown
qwen3.5-9b-64k:latest
Speed
18/50
TTFT
20/20
Memory
30/30
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
Quality
qwen3.5-9b-64k:latest
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest