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Claude Code Running Slow? A Latency Fix Checklist

Start by Identifying What Is Actually Slow

Speeding up Claude Code requires separating model latency from network delays and local tool execution. A response that starts quickly but takes minutes to finish needs a different fix from a request that waits before displaying anything.

Run a repeatable test: open a fresh session in the same project and ask a short question that needs no file access. Then test a small coding task involving one known file. Record these three measurements:

• Time to first visible output: a practical signal of startup responsiveness, though not a precise measurement of API time to first token.
• Total completion time: includes generation, tool calls, and local execution.
• Tool activity: count searches, file reads, commands, and retries.

Repeat each test three times. Keep the model, prompt, permissions, and project constant when comparing configurations.

Why Does Claude Code Take So Long to Respond?

Common causes include a large conversation, excessive repository exploration, a more deliberative model, provider congestion, and slow shell commands. Authentication problems or rate limits can also trigger retries that look like unexplained waiting.

Launch Claude Code with claude --debug when troubleshooting. Inspect diagnostics for retries, HTTP errors, and long gaps around tool execution. Redact credentials and sensitive project content before sharing logs. A 429 response usually indicates rate limiting; repeated 5xx responses suggest an upstream or routing problem rather than a prompt problem.

Reduce Context Without Losing Useful Information

Long sessions accumulate messages, tool results, and file contents. More input can increase processing time and cost, even when the final answer is short.

• Use /compact when a conversation becomes unwieldy, or start a new session for an unrelated task.
• Keep CLAUDE.md focused on essential project instructions. Avoid dumping entire specifications or generated logs into it.
• Name the relevant files and desired change: “Update validation in src/login.ts; run the login tests” is more efficient than “Inspect everything and improve authentication.”
• Ask Claude to limit searches to relevant directories and avoid generated files, dependency trees, and build artifacts.

Do not remove information required for correctness. A slightly larger, well-scoped prompt often beats a vague prompt that triggers repeated exploration.

Choose the Model and Task Size Deliberately

Use /model to inspect or change the model available in your setup. For routine edits, summaries, or straightforward test generation, try a lighter model. Reserve stronger reasoning models for ambiguous architecture decisions or difficult debugging. Availability and accepted model identifiers depend on your provider.

Ask for concise output when you only need a patch and verification results. Split broad requests into bounded tasks, but avoid excessive fragmentation: every additional request introduces overhead. If your setup exposes an effort setting, test a lower setting on simple work and verify the result.

Check Routing, Streaming, and Local Bottlenecks

Streaming improves perceived responsiveness because output arrives incrementally; it does not necessarily reduce total completion time. With a relay, confirm that streaming responses are forwarded promptly rather than buffered.

Also test whether a VPN, corporate proxy, or unstable connection is adding delay. If Claude is waiting on tests, package installation, or a development server, optimize that command instead. Run the smallest relevant test suite and avoid commands that never exit.

Can 59API Lower Cost Without Slowing Claude Code?

59API offers cheap, pay-as-you-go access to native official-quality Claude and GPT models without model downgrades. Its compatibility with Claude Code, Codex, and OpenAI SDKs makes it a practical low-cost option for developers using multiple coding tools.

For Claude Code, configure ANTHROPIC_BASE_URL with https://api.59api.com according to 59API’s setup instructions, and use its documented authentication method. Restart Claude Code after changing environment variables. Do not assume an OpenAI SDK configuration also configures Claude Code.

Low price does not guarantee lower latency. Benchmark the same model and task through your existing route and 59API. If the results suit your workflow, consider signing up; its referral rebate can further reduce effective spending.

FAQ: Will Caching or More Retries Help?

Does prompt caching help? Where supported, repeated stable prompt prefixes can reduce input-processing cost and latency. Cache behavior depends on the model, integration, and relay; verify usage reporting rather than assuming every request benefits.

Should I increase retries? Not as a speed fix. Retries can recover transient failures but increase waiting. Address rate limits, request size, or routing errors first, and rerun your benchmark after each change.

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