Model catalog
One endpoint, every model. Compare context windows, capabilities and real per-token pricing side by side, then swap the model string in your request — nothing else changes.
- 351
- Models
- 35
- Providers
- 11
- Free to try
- $0.0001
- Cheapest input / 1M
10 of 351 models
LanguageDeepSeek V4 Flash Vision Exp
deepseek/deepseek-v4-flash-vision-exp
DeepSeek-V4-Flash-Vision-Exp is an experimental multimodal model that combines the agentic reasoning, coding, and world knowledge capabilities of DeepSeek-V4-Flash with advanced visual understanding. It delivers major gains on vision-dependent agent workflows while performing strongly across leading coding, repository, data science, automation, and multimodal benchmarks.
- Context
- 1M
- In / 1M
- $0.220
- Out / 1M
- $0.660
- Reasoning
- Tool use
- Vision
- +1
- Language
DeepSeek V4 Pro 0813
deepseek/deepseek-v4-pro-0813
This is the 8/13 updated weights version of DeepSeek V4 Pro.
- Context
- 1M
- In / 1M
- $1.32
- Out / 1M
- $3.96
- Reasoning
- Tool use
- Implicit caching
- Language
DeepSeek V4 Flash
deepseek/deepseek-v4-flash
- Context
- 1M
- In / 1M
- $0.130
- Out / 1M
- $0.260
- Reasoning
- Tool use
- Implicit caching
- Language
DeepSeek V4 Flash 0731
deepseek/deepseek-v4-flash-0731
- Context
- 1M
- In / 1M
- $0.076
- Out / 1M
- $0.153
- Reasoning
- Tool use
- Implicit caching
- Language
DeepSeek V3.1 Terminus
deepseek/deepseek-v3.1-terminus
DeepSeek-V3.1-Terminus delivers more stable & reliable outputs across benchmarks compared to the previous version and addresses user feedback (i.e. language consistency and agent upgrades).
- Context
- 131K
- In / 1M
- $0.270
- Out / 1M
- $1.00
- Reasoning
- Tool use
- Implicit caching
- Language
DeepSeek V3.1
deepseek/deepseek-v3.1
DeepSeek-V3.1 is post-trained on the top of DeepSeek-V3.1-Base, which is built upon the original V3 base checkpoint through a two-phase long context extension approach, following the methodology outlined in the original DeepSeek-V3 report. We have expanded our dataset by collecting additional long documents and substantially extending both training phases. The 32K extension phase has been increased 10-fold to 630B tokens, while the 128K extension phase has been extended by 3.3x to 209B tokens. Additionally, DeepSeek-V3.1 is trained using the UE8M0 FP8 scale data format to ensure compatibility with microscaling data formats.
- Context
- 164K
- In / 1M
- $0.250
- Out / 1M
- $0.950
- Reasoning
- Tool use
- Implicit caching
- Language
DeepSeek-R1
deepseek/deepseek-r1
DeepSeek-R1 provides customers a state-of-the-art reasoning model, optimized for general reasoning tasks, math, science, and code generation.
- Context
- 128K
- In / 1M
- $1.35
- Out / 1M
- $5.40
- Reasoning
- Tool use
- Implicit caching
- Language
DeepSeek V3.2
deepseek/deepseek-v3.2
DeepSeek-V3.2: Official successor to V3.2-Exp.
- Context
- 128K
- In / 1M
- $0.280
- Out / 1M
- $0.420
- Tool use
- Implicit caching
- Language
DeepSeek V3.2 Thinking
deepseek/deepseek-v3.2-thinking
DeepSeek‑V3.2 from DeepSeek harmonizes high computational efficiency with superior reasoning and agent performance. It builds on three main techniques: DeepSeek Sparse Attention for long‑context efficiency, a scalable reinforcement learning framework, and a large‑scale agentic task synthesis pipeline. This model excels at long-context reasoning and agentic tasks, efficiently handling extended inputs while maintaining strong accuracy. Its sparse attention design enables it to process complex, multi-step workflows without excessive compute costs. Overall, DeepSeek‑V3.2 targets long‑context reasoning, tool‑using agents, and efficient deployment in production environments.
- Context
- 128K
- In / 1M
- $0.620
- Out / 1M
- $1.85
- Tool use
- Implicit caching
- Language
DeepSeek V3 0324
deepseek/deepseek-v3
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team.
- Context
- 164K
- In / 1M
- $0.270
- Out / 1M
- $1.12
- Tool use