Claude 3.5 Sonnet has a significantly larger context window than GPT-4o[1][2]. Claude 3.5 Sonnet boasts a 200,000-token context window, while GPT-4o has a 128,000-token context window[1]. This gives Claude 3.5 Sonnet an advantage in applications that require processing large volumes of text or maintaining context over extended interactions[1][2]. For example, Claude 3.5 Sonnet can analyze entire books or datasets in one sequence, whereas GPT-4o might require segmentation of the input[1].
The extensive context window of Claude 3.5 Sonnet makes it well-suited for tasks such as legal document analysis, academic research, customer support, and handling large codebases[1][2]. The larger context window allows the model to process and retain a vast amount of information over long interactions[1]. In contrast, GPT-4o's context window is still substantial and sufficient for most use cases, especially those that do not require processing extremely large inputs[1][2].
Citations:
[1] https://oncely.com/blog/claude-3-5-sonnet-vs-gpt-4o-context-window-and-token-limit-2/
[2] https://kanerika.com/blogs/claude-3-5-vs-gpt-4o/
[3] https://neoteric.eu/blog/claude-3-5-sonnet-vs-gpt-4o-and-4o-mini/
[4] https://plainenglish.io/blog/anthropic-dominates-openai-a-side-by-side-comparison-of-claude-3-5-sonnet-and-gpt-4o
[5] https://beginswithai.com/claude-3-5-sonnet/
[6] https://www.reddit.com/r/ClaudeAI/comments/1dqj1lg/claude_35_sonnet_vs_gpt4_a_programmers/
[7] https://prompt.16x.engineer/blog/claude-sonnet-gpt4-context-window-token-limit
[8] https://www.vellum.ai/blog/claude-3-5-sonnet-vs-gpt4o
[9] https://www.reddit.com/r/ClaudeAI/comments/1dlo1ld/claude_35_sonnet_free_context_limit_is_really/