If you already use terminal or IDE coding agents but want to choose models per task, this setup is for you. AceDataCloud Coding Plan is a time-limited, usage-based API package rather than an official Claude, ChatGPT, or IDE membership. The current entry tier, Coding Plus, has a ¥99 display anchor (currently $14.645677) and lasts 30 days. During the current promotion it includes 500 Credits—400 base plus 100 bonus—through November 30, 2026.
The useful architectural idea is simple: keep the client you know, but select the protocol and model that fit the job.
Start with the protocol, not the model name
Coding clients do not all speak the same API protocol. Coding Plan exposes three relevant families:
| Protocol | Typical client/workflow | Best reason to choose it |
|---|---|---|
| Anthropic Messages | Claude Code | Native Claude-style messages and tool use |
| OpenAI Responses | Codex workflows | Agent loops built for the Responses API |
| OpenAI-compatible Chat Completions | Kimi Code, OpenClaw, OpenCode, and compatible custom providers | Broad provider integration and model switching |
This distinction matters because “the model is available” does not imply that every client can call it through every protocol. Treat the tuple (client, protocol, model ID) as one configuration unit.
The live catalog can include model families such as Claude, GPT/Codex, GLM, Kimi, and DeepSeek. Exact models depend on the current catalog, your Coding credential, and the compatibility profile used by the client.
Minimal verification before configuring a client
Create a Coding Application in the Coding Plan product page, then use its token as a placeholder environment variable:
export ACE_CODING_TOKEN="YOUR_CODING_APPLICATION_TOKEN"
Do not commit this value. Put it in your shell keychain, CI secret store, or a local environment file excluded by .gitignore.
Before editing a client configuration, verify that the credential can see the live model directory:
curl --fail-with-body \
https://api.acedata.cloud/v1/models \
-H "Authorization: Bearer $ACE_CODING_TOKEN"
A successful JSON response proves three things: DNS/TLS connectivity works, the token is accepted, and you have a current list of exact model IDs. It does not prove that a particular client profile supports every returned model, so choose an ID documented for that profile.
If this request fails, fix the credential first. Changing client settings while the underlying token is invalid creates misleading protocol errors later.
Configure by client profile
The safest route is the Coding Plan setup center, which has client-specific instructions for Claude Code, Codex, Kimi Code, OpenClaw, OpenCode, and other tools.
Use this checklist rather than copying one generic configuration everywhere:
- Select the guide for the exact client and launch mode—CLI, VS Code, JetBrains, or another supported integration.
- Use the endpoint shown for that protocol.
- insert only the Coding Application token, never your general account credentials.
- Copy an exact model ID from the live directory that the guide marks compatible.
- Restart the client so it reloads environment variables and provider settings.
- Run a small repository-scoped task before attempting a large agent session.
A good first task is deliberately bounded:
Read
package.json, identify the test command, and explain which test file should coversrc/parseConfig.ts. Do not modify files.
Then allow one controlled edit:
Add one failing test for an empty configuration. Show the diff and run only that test file.
This verifies repository access, tool calls, output handling, and command execution without spending a large portion of the plan on an unconstrained refactor. These examples are validation steps, not claims of benchmarked performance.
Divide models by task instead of brand loyalty
A practical multi-model policy can be simple:
- Architecture and cross-file refactoring: choose a strong reasoning/code-understanding model available in your client profile.
- Small edits, tests, and documentation: use a lower-cost compatible model when the task is easy to verify.
- Second opinions: switch model families when the first approach stalls instead of repeatedly expanding the same context.
- Long agent runs: monitor context growth, tool calls, and parallel work; all can increase consumption.
The key is reproducibility. Record the client, protocol, exact model ID, and task type in your project notes. “We used AI” is not actionable; “Codex profile + Responses API + model X for a failing-test-first patch” is.
Budget with Credits, not prompt counts
Coding Plan meters uncached input, output, cache writes, and cache reads separately. Therefore, 500 Credits cannot be translated into a fixed number of prompts. A request that reads ten files, calls tools, and produces a long patch costs differently from a short explanation.
For the current Coding Plus promotion, the effective package cost is:
$14.645677 / 500 Credits = about $0.02929 per Credit
That calculation describes the package’s effective USD-per-Credit rate; it is not a model token price. Model-level cost still depends on the separately metered usage categories.
Start with three controls:
- limit the files an agent may inspect;
- request diffs and targeted tests before full-suite runs;
- start a fresh session when accumulated context is no longer useful.
The package does not auto-renew and does not fall back to a general balance. Renewing before expiry carries remaining Credits forward and extends the term by 30 days; otherwise unused Credits expire. That makes the entry tier useful for measuring a real workload before choosing a larger tier.
The decision rule
Use Coding Plan when you value familiar clients, multiple model families, and one usage budget more than a single vendor’s bundled membership features. Do not buy it expecting unlimited usage or every model/client combination to work interchangeably.
Verify the token, pin the protocol, choose an exact compatible model ID, and test with a bounded task. That sequence turns “multi-model coding” from a marketing phrase into a configuration you can debug and a budget you can measure.
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