DeepSeek

A fast and cost-effective language model optimized for speed and efficiency. Delivers solid reasoning and coding capabilities at lower latency and cost, making it ideal for high-throughput applications, real-time assistants, and batch processing workloads.

A fast DeepSeek variant optimized for low-latency inference while retaining strong reasoning and coding ability. Great for interactive chat, agent loops, and cost-effective high-volume workloads where quick responses matter.

A vision-capable DeepSeek model that combines language understanding with image input support. Can describe images, answer questions about visual content, and perform OCR-assisted tasks, ideal for multimodal assistants and document processing.

A high-performance language model optimized for complex reasoning, advanced coding, and mathematical problem solving. Excels at multi-step reasoning, code generation and debugging, and technical documentation. Suitable for developer tools, research assistance, and tasks requiring deep analytical thinking.

DeepSeek's high-capability reasoning model built for demanding tasks such as complex mathematics, algorithm design, and deep code analysis. Delivers stronger output quality at the cost of higher compute, suited to expert workloads.

A 552B-parameter mixture-of-experts model with native multimodal understanding and a 1M-token context window. Uses an asymmetric Causal Encoder-Decoder architecture that activates only 8B parameters per input token and 16B per output token for exceptional inference efficiency. Outperforms several flagship models on agentic and coding benchmarks at significantly lower cost, ideal for high-volume coding, reasoning, and agent-driven applications.