Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
GPT-5
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.
Llama 3.2 11B Instruct
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.
Llama 3.2 11B Instruct
Meta
2024-09-25
GPT-5
OpenAI
2025-08-07
10 months newer
Pricing Comparison
Cost per million tokens (USD)
GPT-5
Llama 3.2 11B Instruct
Performance Metrics
Context window and performance specifications
GPT-5
Llama 3.2 11B Instruct
Average performance across 5 common benchmarks
GPT-5
Llama 3.2 11B Instruct
Performance comparison across key benchmark categories
GPT-5
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
2023-12-31
GPT-5
2024-09-30
Provider Availability & Performance
Available providers and their performance metrics
GPT-5
OpenAI
ZeroEval
Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock
GPT-5
Llama 3.2 11B Instruct