DeepSeek Chat
Cost-efficient chat model with strong multilingual performance. Best price-to-quality for Asian languages.
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Tips to reduce cost
- →Use prompt caching to reuse repeated system prompts
- →Trim whitespace and reduce verbose instructions
- →Use a smaller model for classification or routing tasks
- →Batch async requests to get 50% discount (OpenAI/Anthropic)
- →Cache identical requests at the application layer
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About DeepSeek Chat
DeepSeek Chat is a mid-range large language model from deepseek, priced at $0.27/1M input tokens and $1.1/1M output tokens. It is 90% cheaper than the market average and best suited for multilingual tasks. The 64k context window covers most standard production workloads.
For most production workloads, the cost breakdown is dominated by input tokens (system prompts, context, retrieved documents) rather than output. At this price point, DeepSeek Chat is a solid choice when balancing quality and cost at scale.
DeepSeek Chat supports prompt caching at $0.07/1M — a 74% discount on repeated input tokens. For applications with a fixed system prompt or repeated document context (RAG, chatbots, agents), enabling caching is the single highest-leverage cost optimization available.