DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Models
Every model in the catalog with source-linked pricing, context limits, provider availability, and published benchmark results.
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 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 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 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-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-V3.1 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 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....
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...
| Model | Creator | Score | Inputs | Context | Input | Output | Released | Compare |
|---|---|---|---|---|---|---|---|---|
| DeepSeek: DeepSeek V4 Pro 0813deepseek/deepseek-v4-pro-0813 | 42.3 | 1.024M | $0.579 | $1.738 | 2026-08-12 | |||
| DeepSeek: DeepSeek V4 Pro 0813 (batch)deepseek/deepseek-v4-pro-0813:batch | 42.3 | 1.04858M | $0.66 | $1.98 | — | |||
| DeepSeek: DeepSeek V4 Flash 0731deepseek/deepseek-v4-flash-0731 | 41.7 | 1.04858M | $0.065 | $0.18 | 2026-07-31 | |||
| DeepSeek: DeepSeek V4 Flash 0731 (batch)deepseek/deepseek-v4-flash-0731:batch | 41.7 | 1.04858M | $0.11 | $0.33 | — | |||
| DeepSeek: DeepSeek V4 Flash 0423deepseek/deepseek-v4-flash | 27.9 | 1.024M | $0.085 | $0.171 | 2026-04-24 | |||
| DeepSeek: DeepSeek V4 Pro 0423deepseek/deepseek-v4-pro | 27.7 | 1.024M | $0.86 | $1.72 | 2026-04-24 | |||
| DeepSeek: DeepSeek V3.2deepseek/deepseek-v3.2 | 18.3 | 163.84K | $0.269 | $0.4 | 2025-12-01 | |||
| DeepSeek: DeepSeek V3.1 Terminusdeepseek/deepseek-v3.1-terminus | 8.9 | 131.072K | $0.27 | $1 | — | |||
| DeepSeek: R1deepseek/deepseek-r1 | 1.1 | 64K | $0.7 | $2.5 | 2025-01-20 | |||
| DeepSeek: DeepSeek V3 0324deepseek/deepseek-chat-v3-0324 | 0.8 | 163.84K | $0.25 | $1 | — |