Expired50% confidenceFactExact time
The release paradigm of API first followed by open-sourcing weights has already been adopted by Zhipu's GLM series and multiple versions of DeepSeek, and real API call logs can be used for RLHF or DPO alignment optimization.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/24/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/22/2026(expired)
Sources
Related Claims
UnverifiedThe pattern of API-first followed by open-source weights has become a standard release paradigm for large models, with Zhipu AI's GLM series and multiple DeepSeek versions following a similar path.82% similarUnverifiedDeepSeek, Kimi, and Zhipu GLM provide API interfaces compatible with Anthropic's format69% similarUnverifiedModels such as OpenAI's o-series and DeepSeek-R1 extensively adopt reinforcement learning technical approaches (RLHF, GRPO, PPO, etc.).69% similarUnverifiedOpen-source LLMs including Qwen, DeepSeek, and GLM are increasingly powerful alternatives to cloud-hosted API models.69% similarPartially VerifiedThe DeepSeek API has been integrated into mainstream AI application development frameworks including LangChain, LlamaIndex, Semantic Kernel, and Dify.67% similar
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