Map context needs before comparing models
RAG pipelines fail more often on retrieval quality and chunk design than on raw benchmark scores. Start with your document sizes, update frequency, and whether you need multimodal inputs. Swift Horse lists public context windows and modalities so you can shortlist candidates before running your own eval harness.
API compatibility for global stacks
Many Chinese labs ship OpenAI-compatible endpoints—critical for teams standardizing on LangChain, LlamaIndex, or custom gateways. Confirm base URLs, auth headers, tool-call formats, and streaming behavior in official docs; Swift Horse surfaces format labels but does not guarantee parity with OpenAI.