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DeepSeek is an AI company founded in 2023, focusing on developing leading general artificial intelligence foundation models and technologies. They have released and open-sourced several large-scale models with billions of parameters, including DeepSeek-LLM, DeepSeek-Coder, and DeepSeek-MoE. DeepSeek provides APIs for accessing their models, allowing users to integrate AI capabilities into their applications.
To use DeepSeek, access their models via the DeepSeek Platform API. You must sign up for an account to obtain your API keys. Refer to the API documentation for instructions on how to make requests and integrate the models into your applications.
Pricing is calculated based on the total number of input and output tokens, measured in units per 1 million tokens. Rates vary based on standard or discount time periods, as well as cache hits and misses.
A token is the smallest unit of text recognized by the model, which may consist of a word, a number, or a punctuation mark.
The DeepSeek API provides access to models including deepseek-chat (DeepSeek-V3) and deepseek-reasoner (DeepSeek-R1).
Context Caching is a feature designed to lower input costs. Please refer to the official DeepSeek Context Caching news article for further details.
Yes, the DeepSeek API offers off-peak pricing discounts daily between 16:30 and 00:30 UTC.
Free plan available.
Recent AI news stories that directly mention or map to DeepSeek.
MiniMax and OpenAI are raising the stakes for enterprise adoption.
Use these comparison pages to understand the trade-offs between the models most relevant to DeepSeek.
Compare DeepSeek V4 Flash and Kimi K2.6 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus reasoning-heavy tasks.
Compare DeepSeek V4 Pro and Kimi K2.6 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus reasoning-heavy tasks.
Compare Gemini 2.5 Flash Lite and Kimi K2.6 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus reasoning-heavy tasks.
Compare Gemini 2.5 Flash and Kimi K2.6 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus reasoning-heavy tasks.
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