Comprehensive side-by-side LLM comparison
Llama 3.2 11B Instruct leads with 17.8% higher average benchmark score. Llama 3.2 11B Instruct offers 123.9K more tokens in context window than GPT-4 Turbo. Llama 3.2 11B Instruct is $39.90 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-4 Turbo is a language model developed by OpenAI. It achieves strong performance with an average score of 78.1% across 6 benchmarks. It excels particularly in MGSM (88.5%), HumanEval (87.1%), MMLU (86.5%). It supports a 132K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, 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.
5 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Llama 3.2 11B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
GPT-4 Turbo
Llama 3.2 11B Instruct
Context window and performance specifications
Average performance across 13 common benchmarks
GPT-4 Turbo
Llama 3.2 11B Instruct
GPT-4 Turbo
2023-12-31
Llama 3.2 11B Instruct
2023-12-31
Available providers and their performance metrics
GPT-4 Turbo
Azure
OpenAI
GPT-4 Turbo
Llama 3.2 11B Instruct
GPT-4 Turbo
Llama 3.2 11B Instruct
Llama 3.2 11B Instruct
Bedrock
DeepInfra
Fireworks
Groq
Sambanova
Together