DeepSeek-R1-0528 Released with Improved Benchmarks, Reduced Hallucinations, and Function Calling
DeepSeek has released DeepSeek-R1-0528, an updated version of its R1 reasoning model featuring improved benchmark performance, reduced hallucinations, enhanced front-end capabilities, and new support for JSON output and function calling. The API interface remains unchanged, and open-source weights are available on Hugging Face. This is an incremental update to the R1 series rather than a new flagship model.
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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-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.
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-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-R1 Release: Open-Source Reasoning Model on Par with OpenAI o1
DeepSeek has released DeepSeek-R1, a reasoning-focused large language model claiming performance parity with OpenAI o1 on math, code, and reasoning benchmarks. The model is fully open-source under the MIT License, including weights and outputs, enabling distillation and commercial use. Six distilled smaller models (up to 32B and 70B) are also released, with the 32B and 70B variants reportedly matching OpenAI o1-mini. API access is live at significantly lower pricing than comparable frontier models ($0.55/M input tokens, $2.19/M output tokens).
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.
Open-R1: Update #1 — Open Reproduction of DeepSeek-R1
Hugging Face's Open-R1 project provides a first progress update on its open reproduction of DeepSeek-R1, a reasoning-focused language model. The update covers early training runs, dataset construction, and evaluation results aimed at replicating DeepSeek-R1's chain-of-thought reasoning capabilities. This effort is part of the broader open-weights community push to reproduce frontier reasoning models transparently.
DeepSeek releases R1-0528-Qwen3-8B distilled reasoning model on Hugging Face
DeepSeek released DeepSeek-R1-0528-Qwen3-8B, an 8B parameter text-generation model on Hugging Face, combining the R1-0528 reasoning capabilities with a Qwen3 base. The model has accumulated over 306K downloads and 1K likes shortly after release, indicating strong community uptake. This appears to be a distilled version of the R1-0528 reasoning model targeting smaller-scale deployment.