Is DeepSeek slow right now?
The available reports don’t show that DeepSeek is generally or currently slow. They describe specific experiences, not controlled speed tests across models, apps, or API providers.
There is relevant official history: DeepSeek’s status page lists a web/API partial interruption on November 6, 2026, as resolved after 45 minutes, and an API degraded-performance incident on October 27 as resolved after 14 minutes. Those entries document past incidents; they do not establish a current problem. Check the DeepSeek status page for the service you actually use before drawing a conclusion. (Status history)
Community reports also need context. A January 2025 Aider issue includes users saying DeepSeek servers were busy; commenters proposed different causes, but the discussion verifies neither. A July 2026 OpenCode issue reports slow responses and a long thinking section while using DeepSeek V4 PRO on the Go plan in OpenCode Desktop for Windows 11, version 1.17.13. The reporter did not confirm a cause. The issue was closed as “not planned,” not documented as fixed. Neither report is a benchmark or proof that your setup has the same problem.
First identify where the slowdown occurs
Before changing models or providers, note:
- Access route: DeepSeek’s app or website, DeepSeek’s API, or a third-party provider.
- Model: Record the exact model name shown by your app or API request. Don’t assume similar names mean the same model or route.
- Client and version: For example, the AI app, coding tool, SDK, or browser you used.
- When it happened: Record the approximate time and time zone; compare it with the status history for that service.
- What you observed: Did the request return an error or “busy” message, wait before showing any output, or produce output slowly after it started? Record total elapsed time as well.
- Request type: Note whether it was a short question, a long prompt, a reasoning-heavy task, or a task involving images or tools.
These details help make a comparison meaningful. They don’t, on their own, prove the cause. A long wait, slow output, and a busy/error response are observations to investigate—not diagnoses.
A practical way to investigate
- Check the status page for the route you use. DeepSeek’s official status page covers DeepSeek services; a third-party provider may have a separate status page. A resolved historical incident is not evidence of a current outage. (DeepSeek Status)
- Repeat a representative request. Use the same prompt and, as much as possible, the same model and setup. Record when the request starts, when the first output appears, and when it finishes. Treat those as your own observations, not official service measurements.
- Change one variable at a time. If you can, compare the same task through another client or access route. Keep the prompt and model constant where possible, and write down what changed. A difference points to a useful lead; it doesn’t necessarily establish why the difference occurred.
- Choose the next step based on the result. If the status page reports a relevant incident, wait and retry after it is marked resolved. If only one client or route behaves differently, investigate that setup or ask its provider for help. If the issue persists across comparable tests, capture your notes and share them with the service provider.
For DeepSeek’s direct API, the current Models & Pricing table lists vision support for deepseek-flash and marks it “Not supported” for deepseek-v4-pro; both models support thinking and non-thinking modes. Confirm the current input modalities for your candidate model before selecting it. These are capability distinctions, not published evidence that one model will be faster for your workload.
When should you test another model or API provider?
If slow responses affect production, test alternatives before switching. Compare the options on representative requests from your actual workload, under comparable conditions. Record the model and access route, the time and test setup, response time, and whether each answer meets your quality requirements. If relevant, compare results across more than one time window rather than relying on a single request.
For example, a team could replay a sample of its usual prompts against its current setup and a candidate model or provider. It could compare the median and slowest response times alongside a simple task-specific quality review. That would be a team-run comparison—not a published benchmark—and the result would apply to those requests and conditions, not every user or workload.
A third-party route is a separate option to evaluate, not a guaranteed speed fix. One commenter in the February 2025 Aider discussion said DeepSeek through OpenRouter worked for them, but gave no comparable timing test or assurance about current performance.
Check current official documentation for the exact API model names and capabilities before choosing. DeepSeek’s documentation lists model metadata, including context window, output limits, modalities, and API capabilities; use those details to screen candidates for your task, then measure their performance in your own test. Don’t infer that different providers have the same service terms or performance simply because they offer access to a model with the same name. (DeepSeek model-list documentation)
Bottom line: The reports establish that some users have experienced slow DeepSeek responses in particular circumstances—not that DeepSeek is universally slow. Identify your route, model, client, time, and symptom; check the relevant status page; and base any production change on a comparable test of speed and output quality.
Sources
DeepSeek API Degraded Performance
DeepSeek Web/API Partially Unavailable
Deepseek is slow · Issue #3077 · Aider-AI/aider
Your First API Call | DeepSeek API Docs
Models & Pricing | DeepSeek API Docs