Reasoning-depth upgrade
The model card describes improved reasoning depth through added compute and post-training optimization, with reduced hallucination, enhanced function calling, and revised vibe-coding experience.
Open Source Model Profile · deepseek-ai
DeepSeek-R1-0528 is a 684.53B-parameter deepseek_v3 reasoning release from deepseek-ai. Its card documents deeper reasoning traces and stronger AIME performance.
DeepSeek-R1-0528 is published by deepseek-ai as a deepseek_v3 text-generation release. The captured configuration identifies DeepseekV3ForCausalLM and Safetensors metadata reports 684,531,386,000 parameters, or about 684.53B. The model card presents it as a reasoning-focused minor upgrade with stronger mathematics, programming, and general-logic performance.
The model card describes improved reasoning depth through added compute and post-training optimization, with reduced hallucination, enhanced function calling, and revised vibe-coding experience.
According to the model card, AIME 2025 accuracy increased from 70% to 87.5% alongside deeper thinking traces, evaluated with 64K generation length and repeated sampling.
The model card also documents DeepSeek-R1-0528-Qwen3-8B distilled from its chain-of-thought and notes that system prompts are now supported.
Source: deepseek-ai/DeepSeek-R1-0528
Captured: Unknown. Processed: 2026-09-07T19:34:43.379163+00:00.
DeepSeek-R1-0528 Paper Link 👁️ 1. Introduction The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528. In the latest update, DeepSeek R1 has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational resources and introducing algorithmic optimization mechanisms during post-training. The model has demonstrated outstanding performance across various benchmark evaluations, including mathematics, programming, and general logic. Its overall performance is now approaching that of leading models, such as O3 and Gemini 2.5 Pro. Compare…
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