DeepSeek

deepseek-v4-pro

deepseek/deepseek-v4-pro

$0.660/M input

$1.98/M output

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: DeepSeek V3 0324

deepseek/deepseek-chat-v3-0324

$0.290/M input

$1.14/M output

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...

DeepSeek: DeepSeek V3.1

deepseek/deepseek-chat-v3.1

$0.250/M input

$0.950/M output

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...

DeepSeek: DeepSeek V3.1 Terminus

deepseek/deepseek-v3.1-terminus

$0.270/M input

$1.00/M output

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: DeepSeek V3.2

deepseek/deepseek-v3.2

$0.260/M input

$0.380/M output

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: DeepSeek V3.2 Exp

deepseek/deepseek-v3.2-exp

$0.270/M input

$0.410/M output

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

DeepSeek: DeepSeek V4 Flash 0731

deepseek/deepseek-v4-flash-0731

$0.043/M input

$0.300/M output

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: DeepSeek V4 Flash 0731 (batch)

deepseek/deepseek-v4-flash-0731:batch

$0.048/M input

$0.144/M output

DeepSeek: DeepSeek V4 Pro 0813

deepseek/deepseek-v4-pro-0813

$0.111/M input

$4.44/M output

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 V4.1 Flash

deepseek/deepseek-v4.1-flash

$0.450/M input

$1.80/M output

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...

DeepSeek: DeepSeek V4.1 Flash (batch)

deepseek/deepseek-v4.1-flash:batch

$0.112/M input

$0.336/M output

DeepSeek: DeepSeek V4.1 Flash 1017

deepseek/deepseek-v4.1-flash-1017

$0.150/M input

$0.600/M output

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...

DeepSeek: DeepSeek V4.1 Flash 1017 (batch)

deepseek/deepseek-v4.1-flash-1017:batch

$0.011/M input

$0.200/M output

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model...

DeepSeek: R1 0528

deepseek/deepseek-r1-0528

$0.500/M input

$2.15/M output

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...