glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
qwen3-next:80b-a3b-instruct-q4_K_M
OLLAMA GGUFqwen3next · 79.7B · Q4_K_M
Aug 23, 2026 · Intel Xeon® E5-4650 v2
Global Score
76 vs 74
Hardware Fit
73 vs 42
Quality Score
77 vs 87
Hardware
glm-4.7-flash:bf16 qwen3-next:80b-a3b…
MachineNVIDIA NVIDIA_DGX_SparkDell Inc. PowerEdge R820
CPUCortex-X925Intel Xeon® E5-4650 v2
Cores2080
RAM122 GB256 GB
GPUDevice 2e12Microsoft Basic Display Adapter
OSUbuntu 24.04.4 LTSMicrosoft Windows Server 2022 Datacenter 10.0.20348
Archarm64x64
Power Modeperformancebalanced
Performance
glm-4.7-flash:bf16 qwen3-next:80b-a3b…
Tokens/sec25.83.9
First chunk605 ms2089 ms
TTFT605 ms2.1 s
Load time44.2 s73.3 s
Memory usage57.0 GB46.9 GB
Memory %47%18%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
qwen3-next:80b-a3b-inst…
Speed
3/50
TTFT
9/20
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-next:80b-a3b-inst…
Reasoning
18/20
Coding
19/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong 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