# Is the LLMwithCrypto API working?

> How to check that the LLMwithCrypto API, your key and your credit work in one free call, how to read errors, what to retry, and where incidents are dated.

- URL: https://llmwithcrypto.com/status/
- Last updated: 2026-10-23
- Publisher: LLMwithCrypto (https://llmwithcrypto.com)

There is no status number to trust here; there is a check you can run yourself in one second. This page shows it, explains which errors are ours and which are yours, and how an app should react to each.

**Quick answer — How do I check that LLMwithCrypto is working?**

Call `GET https://llmwithcrypto.com/api/v1/credits` with your key. It generates no tokens, so it costs nothing, and a normal JSON reply proves the **LLMwithCrypto** API, your key and your account work. Then send one short chat completion to the model you use, which costs a fraction of a cent on most models at our prices of 23 October 2026. Server errors are never charged, and incidents are dated in the [changelog](https://llmwithcrypto.com/changelog/).

## What is the quickest health check?

Two calls, in this order:

1. **`GET https://llmwithcrypto.com/api/v1/credits`** — answers from our side only: authentication, the API and your account. A reply with your remaining credit means the service is up for you.
2. **`GET https://llmwithcrypto.com/api/v1/models`** — lists the models your key can call. If the model you use is missing, pick another one from the [models page](https://llmwithcrypto.com/models/) while support looks into it.

If either returns `401`, the key is wrong or revoked: create a new one in the dashboard.

*curl: credit left and the list of models (no tokens used)*

```bash
curl -s https://llmwithcrypto.com/api/v1/credits \
  -H "Authorization: Bearer $LLMWITHCRYPTO_API_KEY"

curl -s https://llmwithcrypto.com/api/v1/models \
  -H "Authorization: Bearer $LLMWITHCRYPTO_API_KEY"

```

*Python: a one-token check of the model you rely on*

```python
import os
import sys

from openai import OpenAI

client = OpenAI(base_url="https://llmwithcrypto.com/api/v1", api_key=os.environ["LLMWITHCRYPTO_API_KEY"])
try:
    client.chat.completions.create(
        model="gpt-oss-20b",
        messages=[{"role": "user", "content": "ping"}],
        max_tokens=1,
    )
except Exception as exc:
    print("model check failed:", exc)
    sys.exit(1)
print("model answers")

```

## How do I tell our error from my request's?

By the status code family, as with OpenAI's API:

- **4xx** — something in the request or the account: a bad key, credit run out, an unknown model id, a parameter the model does not accept, or too many requests per minute. Fix the request; retrying the same one will fail again, except for rate limits.
- **5xx** — our side or the model server. You pay per token from your balance: input and output tokens are counted by the model’s own tokenizer and charged at that model’s price per 1M tokens. A call that ends in an error costs nothing.

The [errors page](https://llmwithcrypto.com/docs/errors/) lists every code with its meaning.

## What should my app do when a call fails?

- **Rate limit:** wait and retry with an increasing delay. Every account has a per-minute request and token limit, shown in the dashboard; ask support and it can be raised.
- **Server error or timeout:** retry once or twice with backoff; if the same model keeps failing, switch to another model with a similar profile, since one key calls all of them.
- **Credit run out:** top up and buy a pack; calls resume once the credit is on the account.
- **Authentication error:** check the key in your environment variable before anything else.

## Where are incidents recorded?

In the [changelog](https://llmwithcrypto.com/changelog/), with the date, the models affected and what was done. Prices, model additions and removals go there too. For an incident affecting your account only, write to support@llmwithcrypto.com with the time in UTC and the request id if you have it.

## Status questions

### Is checking my credit free?

Yes. It runs no model and uses no tokens.

### Am I charged for a failed call?

Not when the failure is ours. You pay per token from your balance: input and output tokens are counted by the model’s own tokenizer and charged at that model’s price per 1M tokens. A call that ends in an error costs nothing.

### Do you publish an uptime percentage?

No. We do not publish figures we cannot show you; incidents are dated in the [changelog](https://llmwithcrypto.com/changelog/) instead.

---

LLMwithCrypto: LLMwithCrypto is an OpenAI-compatible LLM API for open-weight models — DeepSeek V4 Pro, DeepSeek V4.1 Flash, DeepSeek R1, Qwen3.5 397B A17B, Qwen3 235B A22B Instruct, gpt-oss-120b, gpt-oss-20b, GLM-4.7, Llama 3.3 70B Instruct, Gemma 4 31B, Mistral Large 3, Mistral Small 4 — paid per token from a prepaid crypto balance, at 5% below the median price of the public hosts. No KYC: no ID, no selfie, no documents. Prompts and outputs are not stored.