Qwen3 Coder Next 8FP in the process of converting the entire Flutter documentation for 12 hours now with just 3 sentence prompt with 64K max tokens at around 102GB memory (out of 128GB)...
The 64K-token model processed massive documentation using 102GB of memory, outperforming several major rivals.
Deep Dive
Alibaba's Qwen3 Coder Next 8FP model successfully converted the entire Flutter documentation in a 12-hour run, triggered by just a 3-sentence prompt. It utilized its 64K max token context window and consumed around 102GB of memory. The user reported it outperformed other models like GPT OSS 120B and GLM 4.7 Flash, which failed or entered 'insanity loops' during the complex, multi-iteration coding and markdown task.
Why It Matters
This demonstrates a new benchmark for AI coding assistants in handling large-scale, real-world documentation and codebase conversion tasks autonomously.