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) architecture. It activates 8B parameters on input and 16B on...
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents,...
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoning, and agent workflows....
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. It is designed for advanced reasoning, coding,...
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. It is designed for fast inference and...
DeepSeek V4 Pro initial snapshot with million-token context and support for thinking and non-thinking modes
Initial DeepSeek V4 Flash snapshot for economical reasoning, coding, and million-token agent workloads
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
DeepSeek reasoning model for multi-step analysis, math, coding, and tools
Hybrid-reasoning DeepSeek model with thinking and non-thinking modes
March 2025 checkpoint of DeepSeek-V3 with improved reasoning and coding
DeepSeek R1 is here: 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 in an inference pass....
Open DeepSeek MoE chat model for coding, math, and general reasoning
| Model | Creator | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|
| DeepSeek: DeepSeek V4.1 Flashdeepseek/deepseek-v4.1-flash | 1.04858M | $0.15 | $0.6 | 2026-09-10 | |||
| DeepSeek: DeepSeek V4 Flash Vision Expdeepseek/deepseek-v4-flash-vision-exp | 1.04858M | $0.22 | $0.66 | 2026-08-21 | |||
| DeepSeek: DeepSeek V4 Pro 0813deepseek/deepseek-v4-pro-0813 | 1.024M | $0.579 | $1.738 | 2026-08-12 | |||
| DeepSeek: DeepSeek V4 Flash 0731deepseek/deepseek-v4-flash-0731 | 1.04858M | $0.065 | $0.18 | 2026-07-31 | |||
| DeepSeek: DeepSeek V4 Pro 0423deepseek/deepseek-v4-pro | 1.024M | $0.948 | $1.896 | 2026-04-24 | |||
| DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash | 1.024M | $0.086 | $0.171 | 2026-04-24 | |||
| DeepSeek V4 Pro 0423deepseek/deepseek-v4-pro-0423 | 1M | $1.32 | $3.96 | 2026-04-23 | |||
| DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash-0423 | 1M | $0.139 | $0.278 | 2026-04-23 | |||
| DeepSeek: DeepSeek V3.2deepseek/deepseek-v3.2 | 163.84K | $0.269 | $0.4 | 2025-12-01 | |||
| DeepSeek: DeepSeek V3deepseek/deepseek-chat | 128K | $0.257 | $1.029 | 2025-12-01 | |||
| DeepSeek Reasonerdeepseek/deepseek-reasoner | 1M | $0.147 | $0.295 | 2025-12-01 | |||
| DeepSeek-V3.1deepseek/deepseek-v3.1 | 131.072K | $0.19 | $0.71 | 2025-08-21 | |||
| DeepSeek V3 0324deepseek/deepseek-v3-0324 | 163.84K | $0.2 | $0.8 | 2025-03-24 | |||
| DeepSeek: R1deepseek/deepseek-r1 | 64K | $0.7 | $2.5 | 2025-01-20 | |||
| DeepSeek-V3deepseek/deepseek-v3 | 131.072K | $0.27 | $1.12 | 2024-12-26 |