DeepSeek V4-Flash Launches on Ollama Cloud With Support for Major AI Development Tools

DeepSeek, a Chinese AI startup, has built its challenge to U.S. model makers around open weights and aggressive pricing. V4-Flash uses a mixture-of-experts design with 284 billion total parameters, 13 billion activated per request and a 1 million-token context window. In May 2026, the U.S. National Institute of Standards and Technology’s Center for AI Standards and Innovation said V4 Pro cost less than GPT-5.4 mini on five of seven comparable benchmarks, underscoring why the series matters to developers and enterprise buyers.

On July 31, 2026, DeepSeek released DeepSeek-V4-Flash-0731 on Hugging Face and opened its API for public beta testing after re-running post-training while retaining the 284-billion-parameter architecture and MIT license. DeepSeek reported scores of 82.7 on Terminal Bench 2.1 and 54.4 on DeepSWE. API pricing is $0.14 per million uncached input tokens, $0.0028 for cached input and $0.28 for output, while the open weights allow companies to deploy the model on their own infrastructure.

DeepSeek shook the global AI market in early 2025 with its low-cost R1 model, prompting investors to reassess heavy spending on computing power. V4 is its next-generation flagship, with a greater focus on long-context processing, reasoning and autonomous agent capabilities. Its ability to close the gap with OpenAI, Anthropic and Google through an open-source, low-price strategy could shape the competitive position of Chinese models.

DeepSeek formally launched and open-sourced the V4 preview on April 24, 2026, offering the 1.6-trillion-parameter Pro and 284-billion-parameter Flash models. Both support a 1-million-token context window and thinking and non-thinking modes. For every 1 million uncached tokens, API input/output prices are 1/2 yuan for Flash and 3/6 yuan for Pro.