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Independent practical guides to DeepSeek model API integration, costs, thinking mode and retry diagnosis.

Choose a model from current official documentation, estimate your workload cost, and check thinking-mode, tool and stream handling before integration. Use the retry guide to distinguish request errors, balance problems and traffic pressure. Historical V3/R1 references in older guides are not current API model-selection advice.

Learn landing revised October 27, 2026. The official model/pricing docs checked on that date list deepseek-flash (DeepSeek-V4.1-Flash-1017) and deepseek-v4-pro (DeepSeek-V4-Pro-0813). Accepted legacy Flash aliases do not make retired versions current. This source check applies to this landing reference, not every guide. Consult the official API format documentation and test feature-specific compatibility. For cost scenarios, see the pricing guide.

DeepSeek basics

DeepSeek API pricing: what every model actually costs

Current model rates, cache-hit and cache-miss billing, peak/off-peak scenarios and a text-token cost calculator.

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DeepSeek API glossary

Every term you'll hit reading the DeepSeek docs or debugging an integration: token, MoE, cache-hit, streaming, tool use, and more.

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DeepSeek 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.

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Compare LLMs

DeepSeek vs GPT-4o for coding

How deepseek-chat and deepseek-reasoner compare with GPT-4o and o-series on real coding tasks: quality, speed, and cost-per-task.

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Engineering

DeepSeek rate limits & retries: a practical troubleshooting guide

DeepSeek limits concurrent in-flight requests, not requests per minute. What each error code means, when to retry, and a safe client retry policy.

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How 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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How models work

DeepSeek Thinking Mode: Versioned Integration Checklist

A versioned checklist for DeepSeek thinking mode: controls, reasoning_content rules with and without tools, stream states, logging, evaluation and cost.

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Start here

Frequently asked

What models are available on the DeepSeek API?
The official model/pricing documentation checked October 27, 2026 lists deepseek-flash (DeepSeek-V4.1-Flash-1017) and deepseek-v4-pro (DeepSeek-V4-Pro-0813). Historical V3/R1 guide references are not current API model-selection advice. Consult the linked official model/pricing docs before choosing a model.
Is the DeepSeek API compatible with OpenAI SDKs?
DeepSeek documents an OpenAI-compatible API format, but that does not promise support for every SDK feature or identical response fields across API formats. Consult the official API format documentation linked below and test the specific model, tools, thinking controls and streamed-response handling your integration uses.
What guides are available in the DeepSeek Learn hub?
The hub includes a text-token cost calculator, an HTTP-error diagnostic, a queue pressure estimator, a versioned thinking-mode checklist, setup guides and a glossary. Some guides retain historical V3/R1 context; their card labels are not verification of current model availability.
How does DeepSeek API pricing compare to OpenAI?
Use the linked DeepSeek pricing guide for workload scenarios and check the official model/pricing docs for current rates. Model selection, cache-hit versus cache-miss input, output tokens and the applicable peak/off-peak schedule affect billing. Compare the same workload and successful outcomes rather than assuming a universal saving.
How does DeepSeek prompt caching reduce API costs?
Repeated prompt prefixes may qualify for cache-hit billing; stable system prompts and consistent prefix ordering can help reuse. Caching is best effort, not a guaranteed hit. Check reported cache-hit and cache-miss usage and the official pricing docs when estimating costs.