claude keeps cutting off text
Learn how to fix Claude cutting off answers mid-sentence, whether you are using the web app, Pro subscription, or the Anthropic API.
Updated 8/16/2026Powered by Tickd.ai
When Claude stops writing mid-sentence, it can disrupt your workflow. Truncated output usually happens due to token limits, browser timeouts, or API payload constraints. This guide shows you how to resolve these truncation issues and get complete responses in both the Claude web interface and the Anthropic API.
Send a continue command in the chat
If you are using the web interface (Claude.ai) and the output abruptly stops, Claude has likely hit the maximum output limit for a single message. Do not restart the conversation. Instead, type "continue", "please finish your last response", or "go on from [insert last few words]". This prompts the model to pick up exactly where it left off, maintaining the conversation memory. If the interface freezes entirely rather than just cutting off text, you may want to check our guide on Claude not responding to rule out browser or network crashes.
Increase the max tokens parameter in the API
For developers using the Anthropic API, truncation is often caused by setting the max_tokens parameter too low in your request payload. Ensure you have allocated enough output tokens to handle the expected response size. For Claude 3.5 Sonnet, the maximum output limit is 8,192 tokens (when using the correct headers), whilst older models typically support up to 4,096 tokens. If your requests are failing to complete due to platform-side strain or timeouts, read our troubleshooting steps for the Anthropic API 529 overloaded error.
Prompt Claude to output in smaller chunks
If you require an exceptionally long response, such as a comprehensive codebase or an extensive report, ask Claude to deliver it in stages. Optimise your prompt by adding instructions like: "Write the first three sections, then stop and ask me if I am ready for the next part." This prevents the generation from hitting hard output limits and ensures you receive high-quality, fully formatted responses without abrupt cuts.
Use XML tags to structure long outputs
Claude is highly sensitive to structure and performs exceptionally well when instructed using XML tags. If you need a long response, structure your prompt to request specific sections inside explicit tags, such as <introduction>, <body>, and <conclusion>. This helps the model track its progress through the generation task, reducing the likelihood of premature truncation or erratic formatting.
Avoid pasting excessive input context
Whilst Claude boasts an impressive context window, overloading the prompt with massive documents can sometimes exhaust the generation budget or cause timeouts. If your input is too large, Claude may struggle to compute the entire response before the connection drops. Try splitting your input data into smaller, logical segments to give the model breathing room to generate complete answers.