DeepSeek API Pricing

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.

DeepSeek V3 is the general-purpose DeepSeek model — surprisingly strong on coding and math at a fraction of GPT-4o's price. Open-weight, with growing third-party host support.

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates.

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.

DeepSeek V3 0324 is an updated drop-in replacement for DeepSeek V3 — same pricing, noticeably improved coding and instruction-following. The recommended V3 variant for new projects.

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures.

DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's.

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.

May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens.

DeepSeek R1 is the open-weight reasoning model that disrupted the reasoning-model market by matching o1-class performance at a tiny fraction of the cost. Chain-of-thought is exposed by default.

DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3.3-70B-Instruct, using outputs from DeepSeek R1.