DeepSeek API Slow? 5-Step Troubleshooting for Release Day (2026)

Blog / Troubleshooting

DeepSeek API Slow? 5-Step Troubleshooting for Release Day (2026)

If the DeepSeek API is slow on the day a new version ships, the most common cause is a traffic spike that lengthens queues. The second most common is rate limiting. A real outage is the least likely. On October 17, 2026, DeepSeek released DeepSeek-V4.1-Flash-1017 and opened the Search & Fetch API to all users, and many people hit slowdowns or errors that day. Below is a fixed order of checks. It also works for Kimi (Moonshot AI), Zhipu, Alibaba Cloud Model Studio (Bailian) and Volcengine Ark.

The time frame of this article is up to October 2026. cdnping only started collecting data on October 17, 2026, so its history is short and this article cites no long-term statistics.

What happened around October 17?

  • DeepSeek: The official changelog says DeepSeek-V4.1-Flash-1017 was released on October 17, 2026, going live on the web app, mobile app and API at the same time, with open weights also published. On the same day, the Search & Fetch API was opened to all users. See the official announcement. For how the old model name maps to the new weights, see this explainer on our site; the official docs are the final word.
  • Kimi (Moonshot AI): The September 2026 entry in the open platform changelog says the web search endpoints /v1/tools/search and /v1/tools/search_pro went live, with search QPS limits configurable at the organization and project level. Separately, the moonshot-v1 series and kimi-k2.5 were retired in an August announcement, and requests to them now return 404. See the Kimi changelog.
  • Zhipu: The Coding Plan docs say that Monday to Friday, 14:00 to 18:00 (Beijing time, UTC+8) is the peak window. Outside it, usage is deducted at 50% of the base credit cost. There are also a 5-hour credit cap and a weekly credit cap. See the official overview.

Stacked together, these changes mean slowness and errors on a release day can come from several sources, so you need to rule them out layer by layer.

Step 1: Check whether the provider is having problems

Open cdnping's /en/down/deepseek. The page combines the official status page, an API probe that runs every 5 minutes, and one-click user reports (can't connect, slow, model seems dumber, rate limited, and so on). The other services are at /en/down/kimi, /en/down/zhipu, /en/down/qwen and /en/down/doubao.

How to read it:

  • Probes look healthy and few user reports: the problem is most likely on your side, or it is rate limiting.
  • Probes failing and reports rising together: the problem is on the provider's side, and waiting works better than changing code.
  • Reports clustered under "rate limited": go to Step 4.

Step 2: Look at edge probes and the 30-day history

/en/status/deepseek, /en/status/moonshot, /en/status/zhipu, /en/status/dashscope and /en/status/volcengine probe the official API entry points from the Cloudflare edge every 5 minutes and keep 30 days of history. Note that they measure whether the entry point is reachable and how fast it responds. That is not the same as model inference speed on your account. Because collection has only just begun, the window you can see is very short, and it is only good for answering "has anything looked abnormal in the last few hours?"

Step 3: Use a speed test to separate network problems from a slow server

Run a test on the cdnping home page. It gives two numbers:

MetricMeaningWhen high, suggests
First connectionIncludes DNS and the TLS handshakeSlow DNS resolution, a poor network path, a slow handshake
Round tripMedian of 3 requests after the connection is reusedServer-side queuing or a congested route

If first connection is high and round trip is normal, it is most likely a DNS or handshake issue; work through the developer network self-check checklist. If both are normal but your requests are still slow, the cause is usually model queuing or generation itself, so move on to error codes and rate limits. For more background on latency, see AI API latency from China.

Step 4: Handle it by error code

The DeepSeek search endpoint docs give a clear set of recommendations that work as a general reference. Check each provider's official docs for specifics.

Status codeUsual meaningWhat to do
429Rate limit exceededBack off and retry; lower concurrency
402Insufficient balanceTop up, then try again
408 / 5xx / 504Timeout or server errorWait and retry
404Model name or path does not exist (for DeepSeek Fetch, it means no usable page could be retrieved)Check whether the model has been retired, for example Kimi's moonshot-v1; when calling Fetch, change the URL or request
400 / 401Malformed request or invalid keyFix the request; do not retry

The DeepSeek search endpoints limit Search and Fetch to 5 QPS each per account, regardless of which API key you use. Exceeding it returns 429, and this is counted separately from model concurrency limits. See the search endpoint docs. If your code calls search in a loop, you can easily hit this cap first.

Here is a minimal backoff loop to start with:

for i in 1 2 3 4; do
  code=$(curl -s -o /dev/null -w "%{http_code}" \
    https://api.deepseek.com/v1/chat/completions \
    -H "Authorization: Bearer $DEEPSEEK_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{"model":"<your model name>","messages":[{"role":"user","content":"ping"}]}')
  echo "try $i -> $code"
  [ "$code" = "200" ] && break
  sleep $((2**i))
done

Replace the model name with the current name from the official docs. If you keep seeing 429s, lower concurrency instead of adding more retries. Zhipu users should also check whether they are inside the weekday 14:00 to 18:00 peak window, and whether the 5-hour or weekly credits have run out.

Step 5: See what the provider changed that day

Open /en/changes. It monitors each provider's official changelog, pricing page and news page, and records every added and removed line. The cause of a 404, a change in response content or a billing change on release day can often be found there. For long-term tracking of price and model changes, see this article.

Dates to keep in mind

  • The DeepSeek search endpoints are currently free when called server-side through DeepSeek Harness, Claude Code or Codex. Direct calls are billed separately from 00:00 on November 1, 2026 (Beijing time), charged per successful request at $0.75 per 1,000 requests. See Search API pricing for details.
  • For DeepSeek's peak and off-peak price difference, see peak and off-peak pricing.

What if one service stays unstable?

Start by splitting your requests: keep critical tasks on the official endpoint, move batch jobs to another Chinese model, and make the model name a config setting in your code. Disclosure: AGI Plan is a commercial partner of cdnping. It offers a monthly subscription, billed in RMB, for a multi-capability-group aggregation gateway. Its "Chinese flagship" group targets Chinese long-text and batch workloads. Check https://agiplan.dev/models for the models and regions actually available. Whether it fits depends on your use case. First use the five steps above to confirm the problem really is on the provider's side or a rate limit.

Sources

Related articles

Keep reading