DeepSeek-V3.1 Release: Hybrid Think/Non-Think Model with Agent-Focused Upgrades
DeepSeek has released V3.1, a hybrid inference model supporting both thinking and non-thinking modes in a single model, positioned as their first step toward the agent era. The model features improved tool use and multi-step agent task performance, with benchmarks showing gains on SWE-bench and Terminal-Bench, and faster thinking efficiency compared to DeepSeek-R1-0528. The base model received 840B tokens of continued pretraining for long-context extension, a new tokenizer, and open-source weights are available on HuggingFace. API updates include 128K context for both modes, Anthropic API format compatibility, and strict function calling support in beta.
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DeepSeek-V3.2 and V3.2-Speciale Released: Reasoning-First Models with Agent Tool-Use Integration
DeepSeek has released two new open-weights models: DeepSeek-V3.2, the official successor to V3.2-Exp with balanced reasoning and tool-use capabilities, and DeepSeek-V3.2-Speciale, a maxed-out reasoning variant claiming gold-medal performance on IMO, CMO, ICPC World Finals, and IOI 2025. V3.2 is the first DeepSeek model to integrate chain-of-thought thinking directly into tool-use workflows, trained on a new agent data synthesis pipeline covering 1,800+ environments and 85k+ complex instructions. V3.2-Speciale is API-only with no tool-call support, available via a temporary endpoint expiring December 15, 2025, while both models are open-sourced on Hugging Face with an accompanying technical report.
DeepSeek-V3-0324 Released with Improved Reasoning, Tool-Use, and MIT License
DeepSeek has released DeepSeek-V3-0324, an updated version of its V3 model featuring major improvements in reasoning performance, front-end development capabilities, and tool-use. The model is now released under the MIT License, matching DeepSeek-R1's open licensing terms. Weights are publicly available on Hugging Face, and the API interface remains unchanged from the prior V3 version.
DeepSeek releases V3.1-Terminus, an incremental update to V3.1 with agent and language consistency improvements
DeepSeek has released DeepSeek-V3.1-Terminus, an update to its V3.1 model addressing user feedback on language mixing issues and improving Code Agent and Search Agent performance. The release claims more stable and reliable benchmark outputs compared to V3.1. Weights are publicly available on Hugging Face, and the model is accessible via the DeepSeek app, web, and API.
DeepSeek releases DeepSeek-V3.1 on Hugging Face
DeepSeek has released DeepSeek-V3.1, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports fp8 precision, text-generation-inference, and endpoint deployment, and has accumulated over 220K downloads and 824 likes shortly after release. This appears to be an updated iteration of the DeepSeek-V3 series, a frontier-class open-weights model family.
DeepSeek-V2.5: Merged Open-Source Model Combining General and Coding Capabilities
DeepSeek has released DeepSeek-V2.5, an open-source model that merges DeepSeek-V2-Chat-0628 and DeepSeek-Coder-V2-0724 into a single unified model. The release improves general conversational capabilities, coding performance, instruction-following, and writing tasks while also strengthening safety properties—raising the overall safety score from 74.4% to 82.6% and reducing safety spillover rate from 11.3% to 4.6%. The model is available via backward-compatible API endpoints (deepseek-chat and deepseek-coder) and on HuggingFace, retaining features like Function Calling, FIM completion, and JSON output. Benchmark results show improvements on HumanEval Python and LiveCodeBench, though SWE-verified performance remains an acknowledged weak area.
DeepSeek releases DeepSeek-V3.2 on Hugging Face
DeepSeek has released DeepSeek-V3.2, a new text-generation model published on Hugging Face under the deepseek-ai organization. The model supports fp8 precision, is endpoints-compatible, and has accumulated over 3.6 million downloads and 1,446 likes, indicating significant community uptake. This appears to be a successor to DeepSeek-V3, continuing the lab's competitive open-weights model series.
DeepSeek V4 Preview Release: 1.6T-param Pro and 284B Flash Models with 1M Context, Open-Sourced
DeepSeek has released DeepSeek-V4 as an open-weights preview, comprising two MoE variants: V4-Pro (1.6T total / 49B active parameters) and V4-Flash (284B total / 13B active parameters). Both models support 1M token context by default, enabled by a novel Token-wise compression and DeepSeek Sparse Attention (DSA) architecture. V4-Pro claims open-source SOTA on agentic coding benchmarks and world-class math/STEM/coding performance rivaling top closed-source models, while V4-Flash offers near-parity reasoning at lower cost and latency. The API is live today with OpenAI and Anthropic compatibility, and legacy model endpoints will be retired in July 2026.
DeepSeek-R1-Lite-Preview Launched with o1-Level Reasoning Performance
DeepSeek has released DeepSeek-R1-Lite-Preview, a reasoning-focused model claiming o1-preview-level performance on AIME and MATH benchmarks. The model features a transparent, real-time chain-of-thought process and demonstrates inference scaling behavior where longer reasoning chains yield better results. DeepSeek has indicated that open-source model weights and a full API are forthcoming. The model is currently accessible via chat.deepseek.com.