Comprehensive side-by-side LLM comparison
GPT-5 leads with 34.4% higher average benchmark score. GPT-5 offers 272.0K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $11.22 cheaper per million tokens. GPT-5 supports multimodal inputs. 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 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
10 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
GPT-5
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5
Llama 3.2 3B Instruct
Context window and performance specifications
Average performance across 47 common benchmarks
GPT-5
Llama 3.2 3B Instruct
GPT-5
2024-09-30
Available providers and their performance metrics
GPT-5
OpenAI
ZeroEval
GPT-5
Llama 3.2 3B Instruct
GPT-5
Llama 3.2 3B Instruct
Llama 3.2 3B Instruct
DeepInfra