DeepSeek

Open-source Mixture-of-Experts LLM tuned for high-efficiency reasoning, coding, and general language tasks across long-form prompts.

Lightweight MoE model with 284B total / 13B active parameters and native 1M context, tuned for low-latency, cost-effective high-concurrency use.

Post-trained 0731 release with major gains across coding, repository work, tool use, and full-stack tasks, plus a 1M context window.

Flagship MoE LLM with 1.6T total / 49B active parameters and native 1M context for advanced math, logical inference, and specialized coding.

Autoregressive framework on the Janus Pro 7B model that unifies multimodal understanding and image generation in one architecture.