Everyone's been complaining Qwen 3.8 27B overthinks and is too slow, so we fixed it.
Introducing UkisAI Swift-27B We trained Swift by reducing model anxiety, the results: 58.3% less token usage, 1.95x faster outputs, <1% loss in accuracy It’s the same performance, just
Tradingagents is a free open source framework where fable 5.1 plays sentiment analyst
Gpt-5.6 plays technical analyst, kimi k3 plays fundamentals analyst, and grok 4.6 plays portfolio manager, and 105k developers already installed it while sam altman charges $500/mo for astra
Qwen 3.8 MAX now FREE on APInex!😶
What you get with free/qwen-3.8-max: ✨ Top-tier reasoning & deep logic 💻 High-performance coding & complex math 🌐 Full tool calling & structured outputs No credit card required. Just grab your API key and start building right away. 👉
I used the “benchmark” from MiaAI_lab as a reference to generate a retro Tetris with ds4-metal + Qwen…
I used the “benchmark” from MiaAI_lab as a reference to generate a retro Tetris with ds4-metal + Qwen 3.8 Flash Next Q2 on my Mac Studio M2 Ultra 64GB with a 131K context window. I’d say the result, from a single prompt, is quite satisfactory.
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