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.
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DeepSeek V2.5-1210: Final Update to V2.5 Series, V3 Generation Teased
DeepSeek has released DeepSeek-V2.5-1210, the final update to its V2.5 model series, with claimed improvements across math, coding, writing, and roleplay benchmarks. The model is available as open weights on Hugging Face. DeepSeek also announced the launch of Internet Search on chat.deepseek.com. The release marks the end of the V2 generation, with the company signaling work on next-generation foundation models.
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 releases DeepSeek-V3.2-Speciale on Hugging Face
DeepSeek has published DeepSeek-V3.2-Speciale, a new text-generation model, on Hugging Face under the deepseek-ai organization. The model uses the deepseek_v32 architecture and supports fp8 precision with safetensors format. Early traction is notable with nearly 10,000 downloads and 708 likes shortly after release.
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.
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 API Major Upgrade: Function Calling, FIM, Chat Prefix Completion, JSON Output, and 8K Token Limit
DeepSeek has released a significant API update adding Function Calling (up to 128 parallel calls, OpenAI-compatible), JSON Output, Chat Prefix Completion, and FIM (Fill-In-the-Middle) Completion to both deepseek-chat and deepseek-coder models. The update also raises the max_tokens ceiling to 8K in the Beta API. Several features are in Beta and will be open-sourced once stable. The Function Calling and JSON Output implementations are explicitly designed to be compatible with the OpenAI API.
DeepSeek releases DeepSeek-V3.1-Base on Hugging Face
DeepSeek has released DeepSeek-V3.1-Base, a new base model for text generation, on Hugging Face. The model supports fp8 precision, safetensors format, and is compatible with text-generation-inference endpoints. With over 1,000 likes and nearly 9,000 downloads shortly after release, it is attracting significant community attention as a successor to the widely-used DeepSeek-V3.
DeepSeek releases DeepSeek-Math-V2 on Hugging Face
DeepSeek has released DeepSeek-Math-V2, a math-specialized text-generation model, on Hugging Face. The model uses the deepseek_v32 architecture and is available in fp8 format with safetensors support. Early engagement metrics show 697 likes and 416 downloads, suggesting notable community interest for a new release.