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DeepSeek Modelle

Modelle von DeepSeek durchsuchen
DeepSeek ist ein großes Modell, das von der DeepSeek Company entwickelt wurde. DeepSeek-v3.1 wurde 2025 veröffentlicht, wobei deepseek-chat dem Nicht-Denkmodus und deepseek-reasoner dem Denkmodus entspricht, und der Kontext wurde bei beiden auf 128K erweitert. - **Hält sich an Aufrufe im OpenAI-Chat-Format**
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deepseek-r2

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deepseek-r2

Demnächst verfügbar
Eingabe:$75/M
Ausgabe:$300/M
nächstes Level
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DeepSeek-V3.2

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DeepSeek-V3.2

Kontext:128K
Eingabe:$0.27/M
Ausgabe:$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.
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DeepSeek-V3

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DeepSeek-V3

Eingabe:$0.27/M
Ausgabe:$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.
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DeepSeek-V3.1

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DeepSeek-V3.1

Eingabe:$0.55/M
Ausgabe:$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.
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DeepSeek-R1T2-Chimera

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DeepSeek-R1T2-Chimera

Eingabe:$0.302/M
Ausgabe:$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.
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DeepSeek-Reasoner

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DeepSeek-Reasoner

Eingabe:$0.55/M
Ausgabe:$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.
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DeepSeek-OCR

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DeepSeek-OCR

Pro Anfrage:$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.
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DeepSeek-Chat

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DeepSeek-Chat

Kontext:64K
Eingabe:$0.27/M
Ausgabe:$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.