X：Tencent WorkBuddy

⚡ V4.1-Flash is now live on the DeepSeek API with native multimodal support. Set your model to deepseek-flash. 🔹 V4-Flash & V4-Flash-Vision-Exp are retired. For compatibility, deepseek-v4-flash and deepseek-v4-flash-vision-exp temporarily route to V4.1-Flash. 🔹 Tests by multiple parties put V4.1-Flash ahead of V4-Pro on performance, cost, speed & total runtime. We’re phasing out V4-Pro. 🔹 Starting at 04:00 UTC on Sept 14, 2026, all deepseek-v4-pro requests will route to V4.1-Flash at V4.1-Flash rates. This will continue until V4.1-Pro launches. 🤝 Official partners @WorkBuddy_AI (including Codebuddy) & @opencode now fully support V4.1-Flash. Try it today! 4/6

✔️Hy4 preview just shipped an upgrade. You flagged it: long thinking + over-verification on complex tasks. We optimized it. Now live for everyone. Same task quality. Fewer turns. Lower in/out tokens. Bench + human eval both confirm. We’ll keep iterating fast. Try it and tell us what still breaks. Try on WorkBuddy: https://t.co/VJd4rN8DNj

Tried Hy4 preview through WorkBuddy and gave it a pretty vague prompt for a first person roller coaster ride, front row seat, make it feel fast, that was basically it. No detailed spec, no reference video, just a rough idea in a sentence. What came back actually held up. Steep drop that felt like the bottom dropping out, banked turns that leaned the right way, scenery rushing by close enough that you register the speed instead of just watching it happen. For something built off a loose prompt like that, I did not expect it to nail the feel this well. Coding and 3D rendering have clearly gotten a real upgrade here, and this took one pass to look this good. Free to try in @WorkBuddy_AI for the next two weeks if you want to mess with it yourself. @TencentHunyuan @TencentAI_News