Comprehensive side-by-side LLM comparison
GPT-5 leads with 42.8% higher average benchmark score. GPT-5 offers 272.0K more tokens in context window than Llama 3.2 11B Instruct. Llama 3.2 11B Instruct is $11.15 cheaper per million tokens. Llama 3.2 11B Instruct is available on 6 providers. Overall, GPT-5 is the stronger choice for coding tasks.
OpenAI
GPT-5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 70.1% across 35 benchmarks. It excels particularly in SWE-Lancer (IC-Diamond subset) (100.0%), COLLIE (99.0%), Tau2 Telecom (96.7%). It supports a 528K 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. Released in 2025, it represents OpenAI'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
GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 41 common benchmarks
GPT-5
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
GPT-5
2024-09-30
Available providers and their performance metrics
GPT-5
OpenAI
ZeroEval
GPT-5
Llama 3.2 11B Instruct
GPT-5
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together