DeepSeek V4.1 Pro is a rumoured successor to DeepSeek V4 Pro. DeepSeek has not officially confirmed the model, specifications, API availability, pricing, or release date.
DeepSeek V4 is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.
DeepSeek V4.1 Flash 1017 is the 17 October 2026 update with improved reasoning, coding, agentic and visual performance, shorter task execution time and output length, native image understanding, a 1M-token context window and up to 384K output tokens.
DeepSeek V4.1 Flash is a 552B-backbone multimodal Mixture-of-Experts model with 8B active parameters during prefill and 16B during decode, a 1M-token context window, native image understanding, continuously controllable reasoning effort, and optimized agentic performance.
DeepSeek V4 Flash Vision Exp is DeepSeek's experimental multimodal vision-understanding model. It combines V4 Flash-level text, reasoning, and agent capabilities with image understanding.
DeepSeek V4 Pro 0813 is the 13 August 2026 version served by DeepSeek's stable deepseek-v4-pro API slug. It supports thinking and non-thinking modes, JSON output, tool calls, Chat Completions, Responses, Anthropic Messages, prefix completion, fill-in-the-middle completion, a 1M-token context window, and up to 384K output tokens. DeepSeek postponed discontinuation of the V4 Pro service to 12:00 Beijing Time on 14 September 2026; a future V4.1 Pro is intended to replace it.
DeepSeek V4 Flash 0731 is the official 31 July 2026 release that supersedes the V4 Flash preview, with substantially stronger agent capabilities and a DSpark speculative-decoding module. It supports native Responses API use, tool use, structured output, server-side web search, a 1M-token context window, and up to 384K output tokens.
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.
DeepSeek V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.
DeepSeek V3.2 Thinking is a reasoning model from DeepSeek for multi-step analysis, math, and tool-driven tasks. It accepts text inputs and produces text outputs.
DeepSeek OCR is a document understanding model from DeepSeek for OCR, extraction, and page-level visual reasoning. It is suited to extracting text, structure, and answers from PDFs, scans, and screenshots.
DeepSeek V3.2 Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. This entry tracks a preview release and capabilities may change before general availability.
DeepSeek V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's.
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context...
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active...
DeepSeek R1 (2025-05-28) is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It accepts text inputs and produces text outputs.
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the March 2025 iteration of the chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the March 2025 iteration of the chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
DeepSeek V3 (2025-03-24) is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance.
An alias for DeepSeek v4 Flash in thinking mode.
DeepSeek R1 (2025-01-20) is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It accepts text inputs and produces text outputs.
An alias for DeepSeek v4 Flash in non-thinking mode.
DeepSeek V3 is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It accepts text inputs and produces text outputs.
DeepSeek V3 (2024-12-26) is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance.
DeepSeek VL2 is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation.
DeepSeek VL2 Small is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
DeepSeek VL2 Tiny is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation. It is a smaller-footprint option suited to tighter latency or deployment budgets.
DeepSeek V4 Flash efficient MoE — 284B total / 13B active params, 1M context, optimized for fast everyday workloads.
DeepSeek V4 Pro flagship MoE — 1.6T total / 49B active params, 1M context, top-tier reasoning + agentic tool use.
DeepSeek OCR 2 is a document understanding model from DeepSeek for OCR, extraction, and page-level visual reasoning. It is suited to extracting text, structure, and answers from PDFs, scans, and screenshots.
DeepSeek Prover V2 671B is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation. It accepts text inputs and produces text outputs.
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It accepts text inputs and produces text outputs.
DeepSeek R1 Distill Llama 70B is a DigitalOcean-hosted reasoning model exposed through DigitalOcean Inference.
DeepSeek-R1-Distill-Qwen-32B is a model distilled from DeepSeek-R1 based on Qwen2.5. It outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens.
DeepSeek V3 Turbo is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It is tuned for lower latency and cost-sensitive production use.
DeepSeek V3.2 Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It accepts text inputs and produces text outputs.
DeepSeek V3.1 is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance.
DeepSeek V2.5 (2024-12-10) is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation.
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. This entry tracks a preview release and capabilities may change before general availability.
DeepSeek V2.5 (2024-09-05) is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation.
DeepSeek Coder V2 (2024-07-24) is a coding model from DeepSeek for code generation, edits, and software tasks.
DeepSeek V2 (2024-06-28) is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation.
DeepSeek Coder V2 (2024-06-14) is a coding model from DeepSeek for code generation, edits, and software tasks.
DeepSeek V2 (2024-05-17) is a language model from DeepSeek for chat, writing, analysis, and general-purpose automation.