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Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Not Rec.

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
62 vs 76
Hardware Fit
10 vs 73
Quality Score
84 vs 77

Hardware

Qwen3-80B:80B glm-4.7-flash:bf16
MachineHP HyperX OMEN Gaming Laptop 16-ap1xxxNVIDIA NVIDIA_DGX_Spark
CPUAMD Ryzen 9 9955HX3D 16-Core ProcessorCortex-X925
Cores3220
RAM31 GB122 GB
GPUAMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPUDevice 2e12
OSMicrosoft Windows 11 Home 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

Qwen3-80B:80B glm-4.7-flash:bf16
Tokens/sec4.925.8
First chunk8006 ms605 ms
TTFT8.0 s605 ms
Load time63.7 s44.2 s
Memory usage47.3 GB57.0 GB
Memory %153%47%

HW Fit Score Breakdown

Qwen3-80B:80B

Speed
6/50
TTFT
4/20
Memory
0/30

glm-4.7-flash:bf16

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

Quality

Qwen3-80B:80B

Reasoning
17/20
Coding
19/20
Instruction
13/20
Structured
13/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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
View Qwen3-80B:80B details | View glm-4.7-flash:bf16 details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest