DeepSeek has launched the official public beta of the DeepSeek-V4-Flash API, featuring significantly enhanced agent capabilities compared to the V4-Pro-Preview. The update involves re-post-training the model while maintaining its original architecture and size.
A comparison of DeepSeek-V4 Flash 0731 and GPT-5.6 Luna on the DeepSWE benchmark reveals that while GPT-5.6 Luna is the stronger engineer, a cascade strategy using both models achieves higher accuracy at lower cost.
OpenAI has shared ten results discovered while evaluating an unreleased model, resolving or making substantial progress on long-standing open problems in mathematics and theoretical computer science. Simultaneously, the Qwen 3.8-Max model with 2.4 trillion parameters is now available, delivering improvements across coding, work, research, and long-horizon tasks.
DeepSeek launched the DeepSeek-V4-Flash API in public beta and immediately released its weights under an MIT license. The update delivers significant performance improvements over the April preview without altering the model's architecture or size, positioning it as a cost-effective alternative to proprietary models.
DeepSeek has updated its V4 Flash model, releasing a new version on 2026-07-31 that shows significant performance gains over the previous preview. The update introduces results for several new benchmarks while improving scores on existing ones.
The official release of DeepSeek-V4-Flash is now live on the DeepSeek API.
The article presents the ARC-AGI benchmark results for the DeepSeek V4 Flash 0731 model. It links to the official results page hosted by the ARC Prize organization.
DeepSeek has released DeepSeek-V4-Flash-0731, an updated version of its smaller "Flash" model that surpasses the larger DeepSeek-V4-Pro on independent benchmarks. The release utilizes a new fine-tuning process while maintaining the original Mixture-of-Experts architecture with 284 billion total parameters.
The article announces that the DeepSeek-V4-Flash-0731 model has surpassed Fable-5, Sol, and Kimi-K3 on a chess benchmark.
The latest roundup of open model artifacts highlights significant releases from Thinking Machines and Tencent, alongside updates from Poolside and DeepSeek.
The DeepSeek-V4-Flash-0731 model has achieved an intelligence index score of 50, a metric that matches the performance of top frontier models from March 2026, which held a score of 51.
DeepSeek released an updated public-beta API for DeepSeek-V4-Flash alongside immediate open-weights availability, marking a significant performance leap achieved through post-training rather than architectural changes. The model retains its 284B total / 13B active parameter structure but shows substantial improvements in agentic capabilities and coding benchmarks.
DeepSeek has released DeepSeek-V4-Flash-0731, the latest model in its V4 family, featuring substantially enhanced agentic capabilities. The 304 billion parameter model is available on Hugging Face and OpenRouter.
DeepSeek has published the official DeepSeek-V4-Flash-0731 model on Hugging Face and moved its API to public beta as of July 31, 2026. This release supersedes the earlier preview version through re-post-training rather than architectural changes, delivering significant improvements in agentic and coding benchmarks while maintaining the same 284B parameter size.
DeepSeek has released its new flash model, DeepSeek V4 Flash, which is positioned as the second-best open-weight model behind Kimi K3 while offering significantly lower pricing. The model is priced at $0.09 for input tokens and $0.18 for output tokens per million tokens.
Initial testing of the DeepSeek v4 Flash model indicates notable enhancements in its user interface and user experience design skills. Despite these improvements, the model is noted to be token hungry.
A translated meme circulating on Reddit indicates that a competitor had to reduce their pricing by 80% due to the competitive pressure from DeepSeek v4 flash. This open weights model features 284 billion total parameters with 13 billion active parameters, delivering superior price-performance metrics.
DeepSeek claims that its newly generally available model, DeepSeek V4 Flash, achieves performance parity with Anthropic's Sonnet 5 and xAI's Grok 4.5 on the DeepSWE benchmark.
DeepSeek has made the DeepSeek-V4-Flash-0731 model available as open weights on Hugging Face.
The DeepSeek-V4-Flash-0731 model has been made available on Hugging Face by the deepseek-ai organization.