About DeepSeek V4 Pro DeepSeek V4 Pro is a Mixture-of-Experts (MoE) language model with 1.6 trillion total parameters and 49 billion activated parameters, supporting a 1 million token context window. Designed for advanced reasoning, coding, and long-horizon agent workflows, it represents the fourth generation of DeepSeek’s flagship open-weight models. The model introduces a hybrid attention […]

DeepSeek V4 Pro matters because it pushes two levers developers actually care about at the same time: open-weight availability and a very competitive provider market. As of the research here, DeepSeek V4 Pro Max is tracked across six API providers, and five of them cluster at the same blended price of $2.17 per 1M tokens […]

DeepSeek released V4 Pro on April 24, 2026 — a 1.6 trillion-parameter Mixture of Experts model with 49 billion active parameters, a 1-million-token context window, and weights available on Hugging Face under an MIT license. On LiveCodeBench, the V4-Pro-Max reasoning variant scores 93.5 Pass@1, leading every model in the comparison set, including Gemini-3.1-Pro High at […]

The LLM landscape in 2026 looks nothing like it did two years ago. Back then the assumption was simple: if you wanted the best model, you paid OpenAI or Anthropic, and that was that. Open source models were a respectable second tier, good for experimentation, fine-tuning, and budget workloads, but not quite there for serious […]

OpenClaw has 362,000 GitHub stars and a skill marketplace with over 44,000 community contributions. That kind of adoption doesn’t happen by accident. Still, the same teams running it in production keep running into the same complaint: the model list is fixed. OpenClaw’s guided setup wizard covers OpenAI, Anthropic, Google, DeepSeek, and local Ollama. You can […]