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DeepSeek V

DeepSeek V model family from DeepSeek.

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DeepSeek V4

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Change Log Date: 2026-04-24​ DeepSeek-V4​ The DeepSeek API now supports V4-Pro and V4-Flash, available via both the OpenAI ChatCompletions interface and the Anthropic interface. To access the new models, the base_url remains unchanged, and the model parameter should be set to deepseek-v4-pro or deepseek-v4-flash. The two legacy API model names, deepseek-chat and deepseek-reasoner, will be discontinued in three months (2026-07-24). During the current period, these two model names point to the non-thinking mode and thinking mode of deepseek-v4-flash, respectively. For more details, please refer to this documentation. Date: 2025-12-01​ DeepSeek-V3.2​ Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.2. deepseek-chat corresponds to DeepSeek-V3.2's non-thinking mode deepseek-reasoner corresponds to DeepSeek-V3.2's thinking mode DeepSeek-V3.2-Speciale​ DeepSeek-V3.2-Speciale is served via a temporary endpoint: base_url="https://api.deepseek.com/v3.2_speciale_expires_on_20251215". Same pricing as V3.2, no tool calls, available until Dec 15th, 2025, 15:59 (UTC Time). For more details, please refer to this documentation. Date: 2025-09-29​ DeepSeek-V3.2-Exp​ Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.2-Exp. deepseek-chat corresponds to DeepSeek-V3.2-Exp's non-thinking mode deepseek-reasoner corresponds to DeepSeek-V3.2-Exp's thinking mode For more details, please refer to this documentation. Date: 2025-09-22​ DeepSeek-V3.1-Terminus​ Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.1-Terminus. deepseek-chat corresponds to DeepSeek-V3.1-Terminus's non-thinking mode, while deepseek-reasoner corresponds to its thinking mode. This update maintains the model's original capabilities while addressing issues reported by users, including: Language consistency: Reduced occurrences of Chinese-English mixing and occasional abnormal characters; Agent capabilities: Further optimized the performance of the Cod

Anunciadoabril 24, 2026

Cronología de lanzamientos

DeepSeek V4
Estable · Anunciado abr. 24, 2026

Change Log Date: 2026-04-24​ DeepSeek-V4​ The DeepSeek API now supports V4-Pro and V4-Flash, available via both the OpenAI ChatCompletions interface and the Anthropic interface. To access the new models, the base_url remains unchanged, and the model parameter should be set to deepseek-v4-pro or deepseek-v4-flash. The two legacy API model names, deepseek-chat and deepseek-reasoner, will be discontinued in three months (2026-07-24). During the current period, these two model names point to the non-thinking mode and thinking mode of deepseek-v4-flash, respectively. For more details, please refer to this documentation. Date: 2025-12-01​ DeepSeek-V3.2​ Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.2. deepseek-chat corresponds to DeepSeek-V3.2's non-thinking mode deepseek-reasoner corresponds to DeepSeek-V3.2's thinking mode DeepSeek-V3.2-Speciale​ DeepSeek-V3.2-Speciale is served via a temporary endpoint: base_url="https://api.deepseek.com/v3.2_speciale_expires_on_20251215". Same pricing as V3.2, no tool calls, available until Dec 15th, 2025, 15:59 (UTC Time). For more details, please refer to this documentation. Date: 2025-09-29​ DeepSeek-V3.2-Exp​ Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.2-Exp. deepseek-chat corresponds to DeepSeek-V3.2-Exp's non-thinking mode deepseek-reasoner corresponds to DeepSeek-V3.2-Exp's thinking mode For more details, please refer to this documentation. Date: 2025-09-22​ DeepSeek-V3.1-Terminus​ Both deepseek-chat and deepseek-reasoner have been upgraded to DeepSeek-V3.1-Terminus. deepseek-chat corresponds to DeepSeek-V3.1-Terminus's non-thinking mode, while deepseek-reasoner corresponds to its thinking mode. This update maintains the model's original capabilities while addressing issues reported by users, including: Language consistency: Reduced occurrences of Chinese-English mixing and occasional abnormal characters; Agent capabilities: Further optimized the performance of the Cod

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