DeepSeek
Offene MoE- und Reasoning-Modelle von DeepSeek (China) — die V-Reihe als Allzweck-MoE, die R-Reihe für Reasoning und die multimodale Janus-Linie; bekannt für starke Leistung bei niedrigen Kosten.
- DeepSeek Janus-Pro-7B DeepSeek
Janus-Pro-7B is DeepSeek's open-source multimodal model from January 2025 — unifying image understanding and image generation in a single 7B architecture, MIT-licensed.
- DeepSeek R1 DeepSeek
Open reasoning model from the Chinese lab DeepSeek, released on 20 January 2025 under the MIT license. A mixture-of-experts with 671B parameters (37B active per token), heavily trained via reinforcement learning; the first open model to match OpenAI's o1 level.
- DeepSeek V3 DeepSeek
DeepSeek V3 is an open model from the Chinese provider DeepSeek, released in December 2024. It uses a Mixture-of-Experts architecture with 671 billion parameters (37 billion active per token) and a context window of around 128,000 tokens.
- DeepSeek V3.1 DeepSeek
DeepSeek V3.1 is DeepSeeks open-weights hybrid model from August 2025 — it unifies a think and a non-think mode in a single model, with a 128K context and strong agentic skills.
- DeepSeek V3.2 DeepSeek
DeepSeek V3.2 (December 1, 2025) is an open MoE model with 685B parameters under an MIT license — especially efficient on long contexts thanks to DeepSeek Sparse Attention.
- DeepSeek V4 DeepSeek
DeepSeek V4 (April 2026) is the fourth generation of the Chinese open-weight MoE model — released as Pro (1.6T parameters) and Flash (284B) under MIT license, with a 1M-token context window.
- DeepSeek V4-Flash DeepSeek
DeepSeek V4-Flash (July 2026) is an open MoE model with 284B parameters (13B active), a 1M-token context and an MIT license — freely downloadable on Hugging Face.
- DeepSeek V4-Pro DeepSeek
DeepSeek V4-Pro (2026) is DeepSeeks open-weight flagship — a 1.6-trillion-parameter MoE with about 49B active parameters per token, a 1M-token context and an MIT license.
- DeepSeek V4.1-Flash DeepSeek
DeepSeek V4.1-Flash (September 10, 2026) is the smallest model in the new DeepSeek V4.1 architecture family — the first DeepSeek generation with native multimodal image processing. A speed-/cost-optimized "Flash" model with open weights (MIT), available via boostN.