qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
Global Score
84 vs 76
Hardware Fit
97 vs 73
Quality Score
79 vs 77
Hardware
qwen3:8b glm-4.7-flash:bf16
MachineASUSNVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ Ultra 9 285KCortex-X925
Cores2420
RAM47 GB122 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance
Performance
qwen3:8b glm-4.7-flash:bf16
Tokens/sec208.025.8
First chunk82 ms605 ms
TTFT1.3 s605 ms
Load time1.5 s44.2 s
Memory usage9.6 GB57.0 GB
Memory %20%47%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
18/20
Memory
29/30
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
Quality
qwen3:8b
Reasoning
18/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate 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
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