POSTopenai
/v1/chat/completionsDeepSeek V3
deepseek-v3DeepSeek V3 is the general-purpose MoE foundation model behind the V3 family, commonly described with 671B total parameters and 37B activated parameters. Its technical reports emphasize MLA, DeepSeekMoE, efficient training, and strong general language and coding performance. In a model catalog, it should be positioned as the balanced DeepSeek chat/coding baseline rather than a specialized reasoning-only model.
Total Context
128Ktokens
Max Output
16Ktokens
Released
Dec 26, 2024
Modalities
DeepSeek V3 Price
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.2857/M | $1.1429/M | $0.1143/M |
How do I use DeepSeek V3 through the API?
POSTanthropic
/v1/messagesDeepSeek V3 FAQ
DeepSeek V3: capabilities, use cases, limits, and TokenHub guidance.
What role does DeepSeek V3 play?+
DeepSeek V3 is a DeepSeek model for open-weight general text, code, and reasoning work.
What should I try first with DeepSeek V3?+
Best for general conversation, complex coding and self-hosted deployment, especially when deployment control is the priority.
Why choose DeepSeek V3?+
Key strength: open weights and an efficient Mixture-of-Experts design.
What tradeoff comes with DeepSeek V3?+
It belongs to an older generation and may lack newer capabilities. For the latest capabilities matter, consider DeepSeek V4 Pro.
How should I start in TokenHub?+
Use TokenHub's exact ID; hosted behavior may differ from self-hosting.
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