DeepSeek

DeepSeek R1 is here: Performance on par with OpenAI o1, but open sourced and with fully open reasoning tokens. 64,000 token context window, maximum output of 16,000 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek V2 Chat by DeepSeek: Text model.

DeepSeek V2.5 by DeepSeek: Text model.

DeepSeek Coder V2 Lite Instruct by DeepSeek: Code model.

DeepSeek R1 is here: Performance on par with OpenAI o1, but open sourced and with fully open reasoning tokens. 64,000 token context window, maximum output of 16,000 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek LLM 67B Chat V1 by DeepSeek: Text model.

DeepSeek R1 is here: Performance on par with OpenAI o1, but open sourced and with fully open reasoning tokens. 64,000 token context window, maximum output of 16,000 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek Coder V2 by DeepSeek: Code model.

DeepSeek V2.5 Dec '24 by DeepSeek: Text model.

DeepSeek R1 is here: Performance on par with OpenAI o1, but open sourced and with fully open reasoning tokens. 64,000 token context window, maximum output of 16,000 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek R1 Distill Qwen 32B is distilled large language model based on Qwen 2.5 32B, using outputs from DeepSeek R1. 32,768 token context window, maximum output of 32,768 tokens. Includes independent benchmarks from Artificial Analysis.

DeepSeek V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model& x27;s original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model& x27;s performance in coding and search agents. 163,840 token context window, maximum output of 32,768 tokens. Higher uptime with 4 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek V3.2 is large language model designed to harmonize high computational efficiency with reasoning and agentic tool use performance. 131,072 token context window, maximum output of 65,536 tokens. Higher uptime with 9 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek V3.2 is large language model designed to harmonize high computational efficiency with reasoning and agentic tool use performance. 131,072 token context window, maximum output of 65,536 tokens. Higher uptime with 9 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek V3.2 Speciale is high compute variant of DeepSeek V3.2 optimized for maximum reasoning and agentic performance. 163,840 token context window, maximum output of 163,840 tokens.

DeepSeek V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model& x27;s original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model& x27;s performance in coding and search agents. 163,840 token context window, maximum output of 32,768 tokens. Higher uptime with 4 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek V3.1 is large hybrid reasoning model 671B parameters, 37B active that supports both thinking and non thinking modes via prompt templates. 163,840 token context window, maximum output of 32,768 tokens. Higher uptime with 7 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek V3, 685B parameter, mixture of experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. 163,840 token context window, maximum output of 16,384 tokens. Higher uptime with 6 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model& x27;s original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model& x27;s performance in coding and search agents. 163,840 token context window, maximum output of 32,768 tokens. Higher uptime with 4 providers. Includes independent benchmarks from Artificial Analysis.

DeepSeek R1 is here: Performance on par with OpenAI o1, but open sourced and with fully open reasoning tokens. 64,000 token context window, maximum output of 16,000 tokens. Higher uptime with 2 providers. Includes independent benchmarks from Artificial Analysis.