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Plain-English guides to the DeepSeek API, R1 reasoning, and the broader OpenAI-compatible LLM ecosystem. No fluff, no affiliate spam.
The DeepSeek API provides cost-effective access to state-of-the-art language models, including DeepSeek-V3 and DeepSeek-R1 reasoning models. It uses OpenAI-compatible endpoints, supports prompt caching for massive token savings, and powers conversational, coding, and mathematical reasoning workflows with low latency and predictable rate limits.
DeepSeek basics
How DeepSeek API pricing works
Cache-hit vs cache-miss input tokens, output pricing, and why DeepSeek can be 10× cheaper than GPT-4o without gimmicks.
ReadDeepSeek API glossary
Every term you'll hit reading the DeepSeek docs or debugging an integration: token, MoE, cache-hit, streaming, tool use, and more.
ReadDeepSeek API models overview: V3, R1, Coder and live availability
Model IDs, context windows, pricing tiers, endpoint URLs and supported capabilities for every DeepSeek API model — plus how to monitor availability in real time.
ReadEngineering
Rate limits & retries on DeepSeek
Why 429s spike, how DeepSeek meters usage, and the retry pattern that keeps a production workload healthy without hammering the API.
ReadHow to connect the DeepSeek API to AnythingLLM, Open WebUI and Cursor
Base URL, API key, model IDs and temperature settings for wiring DeepSeek into AnythingLLM, Open WebUI and Cursor — plus the connection errors that trip people up.
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