Comprehensive side-by-side LLM comparison
Claude 3 Haiku leads with 33.2% higher average benchmark score. GPT-5 nano offers 128.0K more tokens in context window than Claude 3 Haiku. GPT-5 nano is $1.05 cheaper per million tokens. Overall, Claude 3 Haiku is the stronger choice for coding tasks.
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-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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.
1 year newer
Claude 3 Haiku
Anthropic
2024-03-13
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
Claude 3 Haiku
GPT-5 nano
Context window and performance specifications
Average performance across 14 common benchmarks
Claude 3 Haiku
GPT-5 nano
GPT-5 nano
2024-05-30
Available providers and their performance metrics
Claude 3 Haiku
Anthropic
Bedrock
Claude 3 Haiku
GPT-5 nano
Claude 3 Haiku
GPT-5 nano
GPT-5 nano
OpenAI
ZeroEval