Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 1.4% higher average benchmark score. Llama 4 Scout offers 18.9M more tokens in context window than GPT-4.1 nano. Both models have similar pricing. Llama 4 Scout is available on 6 providers. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. 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 2025, it represents Meta's latest advancement in AI technology.
9 days newer
Llama 4 Scout
Meta
2025-04-05
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
GPT-4.1 nano
Llama 4 Scout
Context window and performance specifications
Average performance across 33 common benchmarks
GPT-4.1 nano
Llama 4 Scout
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
GPT-4.1 nano
OpenAI
Llama 4 Scout
GPT-4.1 nano
Llama 4 Scout
GPT-4.1 nano
Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together