GigaChat releases two open-weight models under MIT license: a 702B Ultra version and a lightweight 10B Lightning variant optimized for local inference.

GigaChat-3.1-Ultra is a 702B MoE model that outperforms DeepSeek-V3 and Qwen3-235B, trainable on 3 HGX instances with native FP8 support

GigaChat-3.1-Lightning is a compact 10B A1.8B MoE model that matches or exceeds Qwen3-4B and Gemma-3-4B performance while maintaining speed comparable to Qwen3-1.7B

Both models were pretrained from scratch using proprietary data and compute, not based on DeepSeek finetuning, and released under MIT license to strengthen open-source AI ecosystem