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Chinese open-weight models that shook the AI industry
DeepSeek released R1 in January 2025 as an open-weight reasoning model that matched or beat several closed frontier models on math and coding benchmarks — at a fraction of the training and inference cost — and the announcement briefly wiped hundreds of billions off Nvidia's market cap as investors reassessed how much compute frontier AI actually requires. Because the weights are open, researchers and companies can self-host, fine-tune, or build on it instead of depending on a single vendor's API, which is exactly what a lot of the industry has since done.
Elias Fischer
Tried it after a coworker recommended it. Docs are clear enough that I got it running the same day.
Amelia Lavoie
Switched over from a competitor a few days ago. Dashboard is clunky compared to the API itself. Rate limits kicked in earlier than the docs suggested.
Charlie Evans
Gets the job done most of the time.
Muhammad Rahman
Switched over from a competitor a few weeks ago. Latency has been solid even under load. Had one outage that cost us a bad afternoon.
Riko Shimizu
Exactly what I needed.
Fatma Ali
Switched over from a competitor a few weeks ago. Pricing is predictable, no surprise bills so far. Integrates cleanly with the rest of our stack.
Amelia Ryan
Been using this for about a month. Pricing is predictable, no surprise bills so far. Had one outage that cost us a bad afternoon.
David Kamau
Not perfect, but it gets the job done. Had one outage that cost us a bad afternoon.
Valentino Ruiz
Picked this up for a side project and kept using it. Had one outage that cost us a bad afternoon. Rate limits kicked in earlier than the docs suggested.
Ella Wilson
Picked this up for a side project and kept using it. Rate limits kicked in earlier than the docs suggested. Had one outage that cost us a bad afternoon.
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