DeepSeek.
Chinese open-weights lab. DeepSeek-V3 and R1 redefined open-model frontier capability at low cost.
Models from DeepSeek.
DeepSeek: DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
DeepSeek: DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-tra...
DeepSeek-V3-0324
DeepSeek-V3-0324, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token, an impro...
DeepSeek-V3.1
DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase l...
DeepSeek: DeepSeek V3
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous vers...
DeepSeek: DeepSeek V3 0324
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team...
DeepSeek: DeepSeek V3.1
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prom...
DeepSeek: DeepSeek V3.1 Terminus
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities whi...
DeepSeek: DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use pe...
DeepSeek: DeepSeek V3.2 Speciale
DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on D...
DeepSeek: DeepSeek V4 Flash
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated paramete...
DeepSeek: DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporti...
DeepSeek: R1 0528
May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced an...
Deepseek Coder 33B Instruct
Deepseek OCR 2
DeepSeek: DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED)...
DeepSeek V4.1 Flash
DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters that natively processes images and text at up ...
DeepSeek R1
DeepSeek's reasoning model — RL-trained, frontier-class, MIT-licensed.
DeepSeek R1 Distill Llama 70B
70B Llama distilled from DeepSeek R1's reasoning traces.
DeepSeek R1 Distill Qwen 1.5B
Tiny distilled R1 — phone / browser deployable.
DeepSeek R1 Distill Qwen 14B
14B distilled R1 — laptop-friendly reasoning.
DeepSeek R1 Distill Qwen 32B
32B Qwen base distilled from DeepSeek R1.
DeepSeek R1 Distill Qwen 7B
7B distilled R1 — runs on any modern GPU.
DeepSeek V3
DeepSeek's flagship MoE — 671B total, 37B active, frontier-class.
DeepSeek Coder V2 236B
DeepSeek's MoE coding model — 236B total, 21B active.
DeepSeek Coder V2 Lite
16B MoE / 2.4B active — laptop-class coder.
DeepSeek Coder 33B
DeepSeek Coder 6.7B
DeepSeek: DeepSeek V4 Flash Vision Exp
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepsee...
DeepSeek: DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectu...