Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 4.2% higher average benchmark score. GPT-4.1 nano offers 680.3K more tokens in context window than Claude 3 Haiku. GPT-4.1 nano is $1.00 cheaper per million tokens. Claude 3 Haiku is available on 3 providers. Both models have their strengths depending on your specific coding needs.
Anthropic
Claude 3 Haiku is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 71.5% across 10 benchmarks. It excels particularly in ARC-C (89.2%), GSM8k (88.9%), HellaSwag (85.9%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Anthropic's latest advancement in AI technology.
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.
1 year newer
Claude 3 Haiku
Anthropic
2024-03-13
GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)
Claude 3 Haiku
GPT-4.1 nano
Context window and performance specifications
Average performance across 33 common benchmarks
Claude 3 Haiku
GPT-4.1 nano
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics
Claude 3 Haiku
Anthropic
Bedrock
Claude 3 Haiku
GPT-4.1 nano
Claude 3 Haiku
GPT-4.1 nano
GPT-4.1 nano
OpenAI