DeepSeek
DeepSeek V3.1
DeepSeek-V3.1 is a hybrid model that supports both thinking mode and non-thinking mode. Compared to the previous version, this upgrade brings improvements in multiple aspects:
- 컨텍스트
- 164K
- 입력
- US$0.25
- 출력
- US$0.95
텍스트
DeepSeek 모델 패밀리
DeepSeek 패밀리의 선별 모델 7개를 컨텍스트, API 가격, 모달리티, 기능으로 비교합니다.
7개의 수집 모델
모델 디렉토리
현재 7개 모델
DeepSeek
DeepSeek V3.1 Terminus
This update maintains the model's original capabilities while addressing issues reported by users, including:
- 컨텍스트
- 164K
- 입력
- US$0.27
- 출력
- US$1
텍스트
DeepSeek
DeepSeek V3.2
We introduce **DeepSeek-V3.2**, a model that harmonizes high computational efficiency with superior reasoning and agent performance. Our approach is built upon three key technical breakthroughs:
- 컨텍스트
- 164K
- 입력
- US$0.269
- 출력
- US$0.40
텍스트
DeepSeek
DeepSeek V3.2 Exp
We are excited to announce the official release of DeepSeek-V3.2-Exp, an experimental version of our model. As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon V3.1-Terminus by introducing DeepSeek Sparse Attention—a sparse attention mechanism designed to explore and validate optimizations for training and inference efficiency in long-context scenarios.
- 컨텍스트
- 164K
- 입력
- US$0.27
- 출력
- US$0.41
텍스트
DeepSeek
DeepSeek V4 Flash 0423
We present a preview version of **DeepSeek-V4** series, including two strong Mixture-of-Experts (MoE) language models — **DeepSeek-V4-Pro** with 1.6T parameters (49B activated) and **DeepSeek-V4-Flash** with 284B parameters (13B activated) — both supporting a context length of **one million tokens**.
- 컨텍스트
- 1.02M
- 입력
- US$0.0826
- 출력
- US$0.1652
텍스트
DeepSeek
DeepSeek V4 Flash 0731
**DeepSeek-V4-Flash-0731** is the official release of **DeepSeek-V4-Flash**, superseding the preview version, with substantially enhanced agentic capabilities. It has the same model structure as DeepSeek-V4-Flash-DSpark, i.e. it comes with a speculative decoding module attached.
- 컨텍스트
- 1.05M
- 입력
- US$0.14
- 출력
- US$0.28
텍스트
DeepSeek
DeepSeek V4 Pro 0423
We present a preview version of **DeepSeek-V4** series, including two strong Mixture-of-Experts (MoE) language models — **DeepSeek-V4-Pro** with 1.6T parameters (49B activated) and **DeepSeek-V4-Flash** with 284B parameters (13B activated) — both supporting a context length of **one million tokens**.
- 컨텍스트
- 1.05M
- 입력
- US$1.32
- 출력
- US$3.96
텍스트
OUR METHOD
AIToolly의 모델 데이터 처리 방식
모델 고유 정보와 제공사 엔드포인트 정보를 분리합니다. 서드파티 카탈로그는 탐색과 스냅샷에 사용하며 모델 정보는 공식 문서와 검증된 모델 카드를 우선합니다.