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Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
82 vs 76
Hardware Fit
59 vs 73
Quality Score
92 vs 77

Hardware

Qwen3-80B:80B glm-4.7-flash:bf16
MachineGMKtec NucBox EVO-T2SNVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ Ultra X7 358HCortex-X925
Cores1620
RAM64 GB122 GB
GPUIntel(R) Arc(TM) B390 GPUDevice 2e12
OSMicrosoft Windows 11 Pro 10.0.26200Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

Qwen3-80B:80B glm-4.7-flash:bf16
Tokens/sec19.625.8
First chunk823 ms605 ms
TTFT823 ms605 ms
Load time41.6 s44.2 s
Memory usage46.9 GB57.0 GB
Memory %74%47%

HW Fit Score Breakdown

Qwen3-80B:80B

Speed
26/50
TTFT
20/20
Memory
13/30

glm-4.7-flash:bf16

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

Quality

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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

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