DeepSeek Shuts Down Its Original APIs on July 24 — Check Your No-Code Stack Now

If your no-code stack touches DeepSeek's API anywhere, you have until Thursday 24 July at 15:59 UTC. After that, any request using the old model names deepseek-chat or deepseek-reasoner stops working. Full stop. No grace period, no redirect, just errors where your AI responses used to be.

Four days. And I'd bet a substantial number of no-code builders haven't noticed yet.

What's actually happening?

DeepSeek announced this back on 24 April when they launched V4, but they gave builders three months to migrate. That clock runs out on Thursday.

The two legacy aliases being retired are:

• deepseek-chat — currently routes to V4 Flash in non-thinking mode
• deepseek-reasoner — currently routes to V4 Flash in thinking mode

Both of these just disappear on July 24. The underlying models aren't going anywhere. The names are. DeepSeek is cleaning house on its API surface, and they're doing it the hard way: a clean break rather than a permanent redirect.

The replacement names are deepseek-v4-flash, deepseek-v4-pro, and deepseek-r1-v4. The migration is, in most cases, a literal string replacement in your API call. But there's one trap that'll catch people.

The hidden trap with deepseek-reasoner

Here's the thing that isn't obvious: deepseek-reasoner currently maps to V4 Flash, not V4 Pro. If you were assuming "reasoner" meant "the smart one" and you replace it with deepseek-v4-pro, you might be changing your cost profile and latency without meaning to.

The safe, exactly-equivalent migration for deepseek-reasoner is deepseek-v4-flash with thinking: {"type": "enabled"} in the request body. DeepSeek unified reasoning into their thinking mode toggle — there's no separate reasoning model anymore.

If you actually want the top-tier model, you call deepseek-v4-pro explicitly. But that's an upgrade, not a like-for-like swap. Know which one you mean before you change the string.

I only caught this because the AIToolsRecap newsletter flagged it on 20 July. DeepSeek's own changelog mentions the mapping, but it's buried in a paragraph most people will skim past.

Where no-code builders get burned

If you've wired DeepSeek into any of these, you need to check your model name parameter today:

• Bubble API Connector — any API call configured with "model": "deepseek-chat" or "model": "deepseek-reasoner" in the JSON body
• Make / Integromat — HTTP modules pointing at api.deepseek.com
• Zapier — Webhook or API Request actions using DeepSeek
• n8n — HTTP Request nodes with DeepSeek endpoints
• Custom automation — any script, webhook, or middleware that constructs a Chat Completions request

The base URL isn't changing. Your API key isn't changing. Just the model parameter. But that one parameter being wrong means your entire workflow throws an error and sits there doing nothing.

For Bubble builders specifically: you might not even remember wiring this in. Someone on your team set up an API Connector call six months ago when DeepSeek was the hot new thing, and now it's part of a background workflow nobody looks at until it breaks. Go check.

The five-minute fix

For most setups, the migration is this simple:

If you use deepseek-chat for standard completions: "model": "deepseek-v4-flash"

If you use deepseek-reasoner for reasoning tasks: "model": "deepseek-v4-flash" with "thinking": {"type": "enabled"}

If you want the higher-quality tier: "model": "deepseek-v4-pro"

That's it. One parameter. Five minutes per integration, plus however long it takes you to find all the places you wired it in.

One thing worth doing after you swap the string: fire a quick test request from whatever no-code platform you're using. Bubble's API Connector has a "Test" button. Make and n8n let you run individual modules. Don't just change the text and assume it works — confirm you get a 200 back with an actual completion. Better to find out now than on Friday morning when your users are the ones doing the testing for you.

The broader problem nobody's talking about

This isn't just about DeepSeek. AI model deprecation is becoming a first-class operational risk for no-code builders, and most of us aren't treating it that way.

When you wire Stripe into your app, you don't worry about the payments endpoint vanishing with 90 days' notice. When you use SendGrid for email, the SMTP spec isn't going anywhere. But AI APIs are different. Models get retired. Aliases get cleaned up. What was gpt-4 becomes gpt-4-0613 which becomes deprecated which becomes an error response. Anthropic has done it. Google has done it. OpenAI has a whole graveyard of model names.

The difference this time is the speed. Three months from announcement to hard cutoff, and for builders who don't follow AI news daily, that window can close without them ever seeing the warning.

There's a site called deprecations.info that tracks this stuff — JSON feed, RSS, the works. If you're running production workflows against AI APIs, subscribing to that feed is the cheapest insurance you'll ever buy. Set it up once and you'll never be surprised by a model retirement again. I have the RSS feed piped into a Slack channel and it's saved me at least twice this year.

The deeper lesson: every AI endpoint in your no-code stack is a dependency with an expiry date you don't control. Treat it like one. Document which models your workflows depend on, somewhere your team can find it. Set calendar reminders when deprecation windows are announced. Because four days isn't much time to discover your app's been quietly broken since Thursday afternoon.