This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
📢 Meet Qwen3.8-Max, our most capable model to date. A new bar for coding and work at 2.4T parameters: 🔵 Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：qwen-code-dev-bot/oh-my-cli. 🔵 Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. Start building with Qwen3.8-Max! 🚀
📢 Meet Qwen3.8-Max, our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉
Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:
🔵 Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：qwen-code-dev-bot/oh-my-cli.
⚪ Real work, real results: Production-quality deliverables across hundreds of professions.
🔵 Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
️ ⚪ Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.
💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens
Start building with Qwen3.8-Max! 🚀
The number that decides whether anyone can actually use the 1M window is the cache, not the $2 input. Full context is $2 a call before you get a single token back, and $0.25 cached is the only reason a long agent loop pencils out. So the spec I want published is the implicit cache TTL and what invalidates it. Implicit is lovely until you're forecasting a month of spend and can't explain why the hit rate moved.
About Qwen3.8-Max on Product Hunt
“A New Bar for Coding and Cowork”
Qwen3.8-Max was submitted on Product Hunt and earned 4 upvotes and 2 comments, placing #101 on the daily leaderboard. 📢 Meet Qwen3.8-Max, our most capable model to date. A new bar for coding and work at 2.4T parameters: 🔵 Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：qwen-code-dev-bot/oh-my-cli. 🔵 Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy. Start building with Qwen3.8-Max! 🚀
Qwen3.8-Max was featured in Productivity (658.2k followers), Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 345.1k products, making this a competitive space to launch in.
Who hunted Qwen3.8-Max?
Qwen3.8-Max was hunted by Team Qwen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Qwen3.8-Max stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Team Qwen