🤖 I Built 2 Telegram Bots with Qwen3.8-Max — and the Results Were Seriously Impressive

A developer built two Telegram bots using Qwen3.8-Max, an AI model from Alibaba, and reported impressive results. The bots, one for car repair appointment booking and one for kitchen pricing, were developed in Go and used GPT-4.1-mini as the brain. The developer noted that Qwen3.8-Max used about 12.8 million tokens across 400 API requests, compared to over 15 million tokens for DeepSeek V4 Flash Latest on similar tasks.

💬 Following up on the story about the release of Qwen3.8-Max https://t.me/vic makes ai/1082 , I finally tried it on real-world tasks. Specifically, for building AI consultants for text channels messengers in my favorite programming language — Go . Spoiler: it’s really good, especially for such a low price per 1M tokens 😍 As a result, I built 2 demo Telegram bots, where GPT-4.1-mini acts as the brains 👇 1️⃣ A bot for qualifying a customer and booking a car repair appointment https://t.me/shostak dev demo autoservice bot , which asks for details about the vehicle and the issue, answers questions about service pricing, and schedules a convenient visit time. 2️⃣ A bot for calculating kitchen pricing for furniture companies https://t.me/shostak dev demo kitchen bot , which уточняет kitchen parameters through guiding questions, calculates the cost, sends the final estimate, and books the client at the company office for a detailed design session. Before implementation, of course, I wrote a detailed spec for each of these bots and connected MCP Context7. I also had to make 1–2 corrective prompts for code style and some business-logic details... but otherwise, Qwen3.8-Max worked fully autonomously in the engineering loop questioning itself at every stage and adjusting its own reasoning and code . Token usage input + output totaled ~12.8 million, across about 400 API requests to the Chinese model. That’s seriously impressive For comparison, I ran the same task through DeepSeek V4 Flash Latest: with similar output results, it used over15 milliontokens. By the way, the whole development process was done in the next-gen AI IDE Kodik https://kodik.ru/signup?ref=TVAF2JRH , by our local guys — ArchiTech AI . Highly recommend downloading and trying it. Not an Ad I’ve been using it for over a month now, and it’s truly a very high-quality product, especially in the era of account bans from Anthropic and OpenAI 😏 ...and soon, a local model called Qwen3.8-27b is also expected to drop, which Alibaba has promised to release any day now... that’s definitely something that can make the big AI model vendors nervous 😉 And if you need to design, build, and launch an AI solution for you and/or automate your business processes, feel free to DM me: t.me/koddr 💡 Interesting to read? Follow me on all platforms so you don’t miss new posts 👉 Telegram https://t.me/vic makes ai , VK https://vk.ru/vic makes ai , TenChat https://tenchat.ru/vic makes ai , Dzen https://dzen.ru/vic makes ai , Teletype https://teletype.in/@vic makes ai , or vc.ru https://vc.ru/id6063554