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.

Llama 3.1 Nemotron 70B Instruct

NVIDIA

Llama 3.1 Nemotron 70B Instruct is a language model developed by NVIDIA. It achieves strong performance with an average score of 67.9% across 11 benchmarks. It excels particularly in GSM8k (91.4%), HellaSwag (85.6%), Winogrande (84.5%). The model shows particular specialization in math tasks with an average performance of 86.7%. Released in 2024, it represents NVIDIA's latest advancement in AI technology.

Llama 3.1 Nemotron 70B Instruct

NVIDIA

2024-10-01

GLM-4.5V

Zhipu AI

2025-08-11

10 months newer

Performance Metrics

Context window and performance specifications

GLM-4.5V

Larger context

Max Context:196.6K

Parameters:108.0B

Llama 3.1 Nemotron 70B Instruct

Max Context:-

Parameters:70.0B

Average performance across 11 common benchmarks

GLM-4.5V

Average Score:0.0%

Llama 3.1 Nemotron 70B Instruct

+67.9%

Average Score:67.9%

Knowledge Cutoff

Training data recency comparison

Llama 3.1 Nemotron 70B Instruct

2023-12-01

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

Llama 3.1 Nemotron 70B Instruct

0 providers

GLM-4.5V

Avg Score:0.0%

Providers:2

Llama 3.1 Nemotron 70B Instruct

+67.9%

Avg Score:67.9%

Providers:0