Guide

DeepSeek and Qwen in Claude Code: Setup and Compatibility Checks

To use DeepSeek or Qwen with Claude Code, first verify that your chosen service supports the Claude Code integration and exposes the model you intend to request. A model name alone is not enough to establish compatibility. Check the client configuration, exact model ID and account access together before running a long coding session.

Start with the integration, then choose the model

Use the LLMAPI Claude Code guide as the starting point for this service. Check the current model directory separately when selecting a model. A catalog entry is a configuration reference; test your own request before relying on availability for a project.

Keep three values together in your setup notes: the service base URL, the exact model ID and the account whose key you are using. Do not copy an old model ID from a comparison article simply because its family name looks familiar. This guide intentionally avoids a permanent list of IDs or prices that can become outdated.

Check the effective Claude Code configuration

Anthropic's deployment documentation documents custom gateway base URLs and the /status command for inspecting a session's provider, base URL and proxy. Use that check after configuring the client to make sure the running session matches your intended setup.

For a diagnostic checklist, record:

  • The Claude Code version and the terminal session you launched it from.
  • The base URL shown by the effective configuration.
  • The exact model ID you selected from the service's current documentation.
  • The key's account and billing mode, without copying the secret itself into your notes.

Follow the service guide for authentication. Avoid combining a base URL from one service, a key from another and a model alias from an unrelated example. When reporting a configuration problem, share a redacted configuration and the error, never your complete key.

Test a small task before allowing file changes

Use a disposable project or a clean branch for your first evaluation. Start with a short text request, then ask the client to explain a small file. Only after that works should you try a narrow edit with an existing test you can run locally.

Evaluate the outcome in stages: did the request complete, did the client display the answer, and did the proposed change satisfy your test? Passing the first stage does not establish coding quality. A useful comparison between DeepSeek and Qwen uses the same small task, the same acceptance test and the same review standard.

This is a suggested evaluation procedure, not a benchmark or a claim that a particular model has passed it. No model-family label guarantees identical tool behavior, image handling or context limits across every client integration.

Troubleshoot the first failure before switching models

Capture the actual error and request time. Then check one variable at a time:

What you observe What to check next
Authentication or permission error Whether the configured key belongs to the intended service and has the required access
Missing route or model error The request protocol, base URL and exact supported model ID
Rate-limit or allowance message The error details and the account's current allowance before retrying
Connection interruption or blank result Whether the request completed and whether the client received any text or an explicit stream error
An answer that fails your coding test The task, available context and generated change, rather than treating it as a connection failure

These checks are diagnostic starting points, not a promise that every provider uses the same error format. For URL formatting help, use the API setup tool; confirm a successful request separately.

Compare actual usage instead of assuming a shared allowance

Before a longer session, confirm how the selected key is billed and which models it can access. Do not assume that a subscription allowance and an API balance are interchangeable, or that switching the model preserves the same price or feature set.

After the small test, inspect the usage recorded in your account and consult the current billing information linked from the LLMAPI documentation. Keep the request time and model ID for reconciliation if anything looks unexpected. This gives you a concrete basis for choosing a setup without relying on old price tables or unsupported claims that one model is always cheaper or better.

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