MiroThinker v1.0 just launched recently! We're back with a MASSIVE update that's gonna blow your mind!

• Code：https://github.com/MiroMindAI/MiroThinker
• Paper：https://huggingface.co/papers/2511.11793

We're introducing the "Interactive Scaling" - a completely new dimension for AI scaling! Instead of just throwing more data/params at models, we let agents learn through deep environmental interaction. The more they practice & reflect, the smarter they get!

• 256K Context + 600-Turn Tool Interaction
• Performance That Slaps:
  • BrowseComp: 47.1% accuracy (nearly matches OpenAI DeepResearch at 51.5%)
  • Chinese tasks (BrowseComp-ZH): 7.7pp better than DeepSeek-v3.2
  • First-tier performance across HLE, GAIA, xBench-DeepSearch, SEAL-0
  • Competing head-to-head with GPT, Grok, Claude
• 100% Open Source
  • Full model weights ✅
  • Complete toolchains ✅
  • Interaction frameworks ✅
  • Because transparency > black boxes

Happy to answer questions about the Interactive Scaling approach or benchmarks!