DeepSeek shipped V4-Flash-0731 last week — same 284B parameter architecture as the preview, same 13B...
DeepSeek shipped V4-Flash-0731 last week — same 284B parameter architecture as the preview, same 13B activated parameters per token, MIT licensed, open weights on HuggingFace. No architecture changes. No bigger model.
It now outperforms V4-Pro-Preview on several agent benchmarks.
"We've massively upgraded its Agent capabilities — benchmark scores are now far surpassing the V4-Pro-Preview."
That's what makes this release interesting. Not the model. The method.
What actually changed
DeepSeek has put the formal version of its V4-Flash API into public beta, with an upgrade focused on agent tasks. The company…
DeepSeek released a preview version of its new V4 model series and made it open source. The model supports an ultra-long context…
The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters -…
Chinese AI lab DeepSeek’s last model release was V3.2 (and V3.2 Speciale) last December. They just dropped the first of their…
DeepSeek just launched its fourth generation of flagship models with DeepSeek-V4-Pro and DeepSeek-V4-Flash, both targeted at…
Startup says the updated model delivers stronger agent capabilities and better benchmark results, while maintaining aggressive…
