Releases

DeepSeek retired the experimental V4 Flash Vision model and routed it to V4.1 Flash.

DeepSeek retired V4 Flash and temporarily routed its model name to V4.1 Flash.

DeepSeek released a smaller native-multimodal V4.1 architecture model with upgraded coding, reasoning and agents.

DeepSeek reduced API prices following the V4.1 Flash release.

DeepSeek reportedly moved toward a potential mainland listing while its next financing remained in progress.

DeepSeek released an updated agent harness with support for V4 Flash Vision.

DeepSeek launched an experimental native multimodal V4 Flash model.

DeepSeek added native Responses API support and low, high and max thinking effort controls.

DeepSeek rolled out the GA V4 Pro model across app, web and API with stronger production agent capabilities.

DeepSeek reportedly resumed a second round seeking close to $8B; it remained unclosed.

DeepSeek released the official Flash API in public beta with upgraded coding and agent performance.

Reuters reported DeepSeek was planning a second fundraising round ahead of a potential mainland IPO. The target valuation is retained as metadata because the round was not completed.

A Chinese stock-exchange filing disclosed an indirect 0.8265% stake and implied a RMB350.88B ($51.82B) company valuation.

DeepSeek reportedly raised more than RMB50B ($7.4B) in a founder-controlled structure at a valuation exceeding $50B.

Reuters reported DeepSeek was set to raise about RMB50B from investors including Tencent and CATL, at a projected $52B-$59B post-money valuation.

The efficient V4 Flash preview became available through DeepSeek's API.

DeepSeek introduced the V4 family through Pro and Flash preview API models.

The V4 Pro preview became available through OpenAI- and Anthropic-compatible interfaces.

DeepSeek published its second-generation visual causal-flow OCR model.

DeepSeek offered a temporary high-compute reasoning endpoint until December 15.

DeepSeek upgraded chat and reasoner services to the production V3.2 model.

DeepSeek released its self-verifiable mathematical reasoning model.

DeepSeek introduced its open OCR and document-understanding research family based on visual-text compression.

DeepSeek published its optical-compression model for OCR and document understanding.

DeepSeek released the experimental V3.2 model with sparse attention.

DeepSeek improved language consistency and its code and search agents.

DeepSeek released a hybrid thinking model with improved reasoning efficiency and agent capabilities.

DeepSeek upgraded R1 with stronger reasoning, reduced hallucination and JSON/function-calling support.

DeepSeek released 7B and 671B theorem-proving models and ProverBench.

DeepSeek upgraded V3 with stronger reasoning, coding, writing, search and function calling.

South Korea's privacy regulator suspended new downloads while reviewing personal-data protections.

Australia directed federal entities to remove and prevent DeepSeek products on government systems and devices.

Italy's data-protection authority ordered an immediate restriction on DeepSeek's processing of Italian users' personal data.

DeepSeek released scaled 1B and 7B Janus-Pro checkpoints with improved understanding and image generation.

DeepSeek's assistant reached number one among free iPhone applications in the United States as adoption surged.

DeepSeek temporarily limited new registrations following a large-scale malicious cyberattack.

DeepSeek released the Llama 70B-based distilled R1 reasoning checkpoint.

DeepSeek released the Llama 8B-based distilled R1 reasoning checkpoint.

DeepSeek released the Qwen 14B-based distilled R1 reasoning checkpoint.

DeepSeek released the Qwen 1.5B-based distilled R1 reasoning checkpoint.

DeepSeek released the Qwen 7B-based distilled R1 reasoning checkpoint.

DeepSeek released the Qwen 32B-based distilled R1 reasoning checkpoint.

DeepSeek published R1 under the MIT License and made it available on web and API.

DeepSeek published its pure reinforcement-learning reasoning checkpoint.

DeepSeek introduced its reinforcement-learning reasoning model family and technical report.

DeepSeek released its consumer assistant for iOS and Android.

DeepSeek released DeepSeek-V3 weights and upgraded the deepseek-chat API.

DeepSeek introduced its 671B-parameter V3 mixture-of-experts architecture.

DeepSeek published its second-generation mixture-of-experts vision-language models.

The final V2.5 update improved mathematics, coding, writing, file handling and web-page summarization.