Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 27.8% higher average benchmark score. Llama 3.2 11B Instruct offers 235.5K more tokens in context window than GPT-3.5 Turbo. 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, Llama 3.2 11B Instruct is the stronger choice for coding tasks.
OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
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.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Llama 3.2 11B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
GPT-3.5 Turbo
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 13 common benchmarks
GPT-3.5 Turbo
Llama 3.2 11B Instruct
GPT-3.5 Turbo
2021-09-30
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
GPT-3.5 Turbo
Azure
OpenAI
GPT-3.5 Turbo
Llama 3.2 11B Instruct
GPT-3.5 Turbo
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together