Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct offers 65.5K more tokens in context window than GLM-4.5V. Llama 3.1 8B Instruct is $2.74 cheaper per million tokens. GLM-4.5V supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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.
Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
1 year newer
Llama 3.1 8B Instruct
Meta
2024-07-23
GLM-4.5V
Zhipu AI
2025-08-11
Cost per million tokens (USD)
GLM-4.5V
Llama 3.1 8B Instruct
Context window and performance specifications
Average performance across 18 common benchmarks
GLM-4.5V
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval
Llama 3.1 8B Instruct
GLM-4.5V
Llama 3.1 8B Instruct
GLM-4.5V
Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together