Alongside the announcement, Nvidia released Nemotron 3 Super, its most capable open-weight model to date with 128 billion parameters. On the Artificial Analysis Index benchmark suite, the model narrowly outperforms OpenAI's GPT-OSS and lands roughly on par with Anthropic's Claude 4.5 Haiku, but still falls short of competitors like Chinese Qwen3.5 122B A10B.
Nvidia used several technical innovations during training to improve reasoning capabilities and long-context handling. Like its smaller variants, Nemotron 3 Super is a hybrid model combining Transformer with Mamba architecture.
Chinese providers have taken the lead in open-source AI
The investment comes at a time when the balance of power in open AI models is shifting. Meta led the way with Llama, but CEO Zuckerberg recently signaled that future models may not be fully open. OpenAI's GPT-OSS remains significantly weaker than the company's proprietary offerings. Anthropic doesn't offer open models at all.
Meanwhile, Chinese providers like DeepSeek, Alibaba, Moonshot AI, and MiniMax release nearly all of their model weights for free. There have been recent signs of change here too, with departures from Alibaba's Qwen team. But Chinese models remain the best open alternative for many use cases, even as newer benchmarks repeatedly show that the practical gap to the best Western models is often larger than older benchmarks—which all vendors optimize for—would suggest.
