Why Is Claude So Slow? Diagnose Delays and Stuck Tasks

Claude feels extremely slow when the delay is clearly out of proportion to the task. Understanding whether that delay comes from a service problem, the amount of context in the session, the complexity of what you asked, or a stalled tool call tells you exactly what to try next. Guessing costs more time than a quick diagnosis.

Retrying the same prompt in a slow session almost never fixes the underlying cause. If you need to switch to a fresh session or try a different model, tools like fenbs keep a task checkpoint outside the conversation so you can continue from the same point without re-explaining the work.

Check for a service problem first

Visit status.anthropic.com and look for an active incident on the Claude row. A service-level delay affects every session simultaneously, and no local change will speed things up until the incident is resolved. If you see a yellow or red status, the most productive response is to wait, use a different tool for the immediate task, or save your context and come back later.

The is Claude down guide explains how to read the status page and what to do when an outage is confirmed. If the status page looks clear and the slowness continues, the problem is more likely within your own session rather than the broader service.

Is the context window very large?

Claude processes everything in the current session with each new turn, including all previous messages, uploaded files and any context supplied through connected tools. A session that has accumulated a long conversation, multiple large files, or extensive code will be noticeably slower than a fresh one. The model has more to read and consider before it can begin generating a reply.

If a session that was fast an hour ago is now slow, and the status page shows no incident, context length is the most probable cause. Starting a fresh session and supplying only the context needed for the next task is usually much faster than continuing in an overloaded one. Save the important context before closing.

Is the model doing genuinely complex work?

More capable models, including Claude Opus, take longer to respond than lighter ones because they apply more reasoning per token. If you are using a powerful model on a straightforward task, switching to a lighter option often speeds things up considerably without any loss in quality for that particular task. Matching model capability to task complexity is a practical way to manage response times.

Extended thinking tasks, where Claude reasons through a problem before delivering a response, take noticeably longer than standard responses. If you triggered that mode for a complex problem, the longer pause is intended. If it appears on simple questions you did not expect to need deep reasoning, check your model or prompt settings.

Is a tool call stalled?

When Claude uses external tools, such as web search, code execution, or a connected service like fenbs, the session waits for each tool to return a result before continuing. A slow or temporarily unavailable service can stall the session at that step without producing an obvious error message. In Claude Code, this appears as the terminal waiting on a shell command, a file operation, or a running test.

If the model appears stuck partway through a task with no new output arriving, check whether a tool or subprocess is still running in the background. In an agentic session, a pending confirmation request or a silently failed command can stop progress without displaying a clear error. Interrupting the run and checking the state of any background processes is a faster diagnosis than waiting indefinitely.

How to make Claude run faster

• Check status.anthropic.com before changing anything else.
• Start a new session if the current one has grown very long or contains many large files.
• Break complex prompts into smaller sequential steps instead of one large request.
• Use a lighter model for tasks that do not require the most capable option.
• In Claude Code, check for stalled shell commands or pending tool calls before retrying.
• Try the Claude mobile app if the web interface is unresponsive.

How to do this with fenbs

1. Create a free account at fenbs.ai.
2. Add the current project and task to fenbs: the goal, the current step and any decisions already made.
3. Connect Claude over MCP from Integrations using the setup guide.
4. Before ending a slow or long session, ask Claude to save progress: what was completed, what remains and the next step.
5. Open a fresh session and ask it to read the fenbs context. It starts from the saved checkpoint without needing a recap of the full session.

For related slowness patterns in ChatGPT, see why does ChatGPT take so long. For an introduction to Claude's capabilities and available models, what is Claude AI is the starting point. If you are specifically using Claude Code and experiencing slow or stuck tasks, what is Claude Code covers the agentic setup and where tool calls and long-running processes can stall.