D

DeepSeek modeller

Gennemse modeller fra DeepSeek
DeepSeek er en stor model udviklet af DeepSeek Company. DeepSeek-v3.1 blev udgivet i 2025, med deepseek-chat svarende til ikke-tænkningstilstand og deepseek-reasoner svarende til tænkningstilstand, og konteksten er udvidet til 128K for begge. - **Overholder OpenAI Chat-opkaldsformatet**
D

deepseek-r2

D

deepseek-r2

Kommer snart
Indtast:$75/M
Output:$300/M
næste niveau
D

DeepSeek-V3.2

D

DeepSeek-V3.2

Kontekst:128K
Indtast:$0.27/M
Output:$1.08/M
DeepSeek v3.2 is the latest production release in the DeepSeek V3 family: a large, reasoning-first open-weight language model family designed for long-context understanding, robust agent/tool use, advanced reasoning, coding and math.
D

DeepSeek-V3

D

DeepSeek-V3

Indtast:$0.27/M
Output:$1.08/M
The most popular and cost-effective DeepSeek-V3 model. 671B full-blood version. This model supports a maximum context length of 64,000 tokens.
D

DeepSeek-V3.1

D

DeepSeek-V3.1

Indtast:$0.55/M
Output:$2.2/M
DeepSeek V3.1 is the upgrade in DeepSeek’s V-series: a hybrid “thinking / non-thinking” large language model aimed at high-throughput, low-cost general intelligence and agentic tool use. It keeps OpenAI-style API compatibility, adds smarter tool-calling, and—per the company—lands faster generation and improved agent reliability.
D

DeepSeek-R1T2-Chimera

D

DeepSeek-R1T2-Chimera

Indtast:$0.302/M
Output:$1.208/M
A 671B parameter Mixture of Experts text generation model, merged from DeepSeek-AI's R1-0528, R1, and V3-0324, supporting up to 60k tokens of context.
D

DeepSeek-Reasoner

D

DeepSeek-Reasoner

Indtast:$0.55/M
Output:$2.2/M
DeepSeek-Reasoner is DeepSeek’s reasoning-first family of LLMs and API endpoints designed to (1) expose internal chain-of-thought (CoT) reasoning to callers and (2) operate in “thinking” modes tuned for multi-step planning, math, coding and agent/tool use.
D

DeepSeek-OCR

D

DeepSeek-OCR

Per anmodning:$0.05
DeepSeek-OCR is an optical character recognition model for extracting text from images and documents. It processes scanned pages, photos, and UI screenshots to produce transcriptions with layout cues such as line breaks. Common uses include document digitization, invoice and receipt intake, search indexing, and enabling RPA pipelines. Technical highlights include image-to-text processing, support for scanned and photographed content, and structured text output for downstream parsing.
D

DeepSeek-Chat

D

DeepSeek-Chat

Kontekst:64K
Indtast:$0.27/M
Output:$1.08/M
The most popular and cost-effective DeepSeek-V3 model. 671B full-blood version. This model supports a maximum context length of 64,000 tokens.