Comprehensive side-by-side LLM comparison
GLM-4.5 leads with 8.2% higher average benchmark score. GLM-4.5 offers 6.1K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $1.90 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, GLM-4.5 is the stronger choice for coding tasks.
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. 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 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
10 months newer
Llama 3.2 11B Instruct
Meta
2024-09-25
GLM-4.5
Zhipu AI
2025-07-28
Cost per million tokens (USD)
GLM-4.5
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 24 common benchmarks
GLM-4.5
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
GLM-4.5
DeepInfra
Novita
ZeroEval
Llama 3.2 11B Instruct
GLM-4.5
Llama 3.2 11B Instruct
GLM-4.5
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together