Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). The model shows particular specialization in code tasks with an average performance of 82.0%. Released in 2025, it represents NVIDIA's latest advancement in AI technology.

NVIDIA

Llama 3.1 Nemotron Nano 8B V1

NVIDIA

2025-03-18

GLM-4.5V

Zhipu AI

2025-08-11

4 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

Max Context:-
Parameters:8.0B

Average performance across 7 common benchmarks

GLM-4.5V

Average Score:0.0%
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

+72.2%
Average Score:72.2%
Knowledge Cutoff
Training data recency comparison

Llama 3.1 Nemotron Nano 8B V1

2023-12-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

0 providers

GLM-4.5V

Avg Score:0.0%
Providers:2
NVIDIA

Llama 3.1 Nemotron Nano 8B V1

+72.2%
Avg Score:72.2%
Providers:0