I’ve been exploring different AI APIs and I’m curious about DeepSeek’s capabilities. I know OpenAI has this cool feature where you can send multiple requests at once, which saves time and makes things more efficient. It’s called their batch API.
I’m wondering if DeepSeek has something like this too. It would be super helpful for processing a lot of data quickly. Has anyone used DeepSeek and know if they offer a similar bulk processing option?
If they do have it, how does it work? Is it easy to use? I’d really appreciate any info or experiences you can share about this. Thanks in advance for your help!
hey man, i’ve used deepseek a bit but haven’t seen anything like openai’s batch thing. theyre still pretty new tho so maybe they’ll add it later? for now u might hafta do requests one at a time. kinda sucks if ur tryin to do a ton of stuff fast. hopefully they catch up soon!
I’ve been using DeepSeek for a while now, and unfortunately, they don’t have a bulk processing API like OpenAI’s batch feature yet. It’s a bit of a pain when you’re dealing with large datasets. What I’ve done to work around this is set up a simple Python script that manages multiple API calls in parallel. It’s not perfect, but it does speed things up considerably compared to sending requests one at a time.
One thing to keep in mind is that DeepSeek’s API has some rate limiting, so you’ll need to be careful not to overwhelm it. I’ve found that spacing out requests with small delays works well. Also, their documentation is pretty good, so you might want to check there for any updates on bulk processing capabilities. They seem to be actively developing their platform, so it’s possible this feature could be added in the future.
I’ve been working extensively with DeepSeek’s API for the past few months, and as of now, they don’t offer a bulk processing feature comparable to OpenAI’s batch API. This limitation can indeed be a bottleneck for large-scale data processing tasks. However, DeepSeek’s API does have some advantages in terms of cost-effectiveness and flexibility for certain use cases. If bulk processing is crucial for your project, you might consider implementing a custom queueing system on your end to manage multiple API calls efficiently. Alternatively, you could reach out to DeepSeek’s support team to inquire about their roadmap for such features. They’ve been quite responsive to user feedback in my experience.