❓ Tired of LLMs that hallucinate on complex tasks? What if your AI could: • Explore multiple step-by-step reasoning paths? • Use automated verification to…
1 editorial report · 1 verified social mention. The most authoritative report leads while later evidence completes the story.
❓ Tired of LLMs that hallucinate on complex tasks? What if your AI could: • Explore multiple step-by-step reasoning paths? • Use automated verification to reinforce correct answers? • Check its own work and self-correct? • Autonomously decide when to call external tools? GigaChat 3.5 Reasoning does all of this. This open-source LLM (built on GigaChat 3.5 Ultra) actually thinks before answering. It uses proprietary linear attention for efficient long-context handling, consuming 37% fewer tokens than DeepSeek V4 Flash Preview on math problems. Real-world performance: ✓ IFBench: 44 → 77 ✓ Natural Plan: 64 → 80 ✓ LiveCodeBench v6: 56 → 85 🔗 MIT License. Weights on Hugging Face: fp8 | bf16
Open mention