Nemotron 3 Super spurs speed-vs-vision debate

The speed-vs-vision split exposes a real gap in the open-weight landscape: no single 120B-class model currently offers both native multimodal capability and a genuine 1M-token context window.

• –Nemotron Super 120B's ~478 tokens/sec throughput on Blackwell hardware is exceptional for a 120B-class model, but NVFP4 quantization ties it tightly to NVIDIA's latest GPU lineup
• –Qwen3.5 122B's native vision-language support is a genuine differentiator for agentic workflows where image/video input matters
• –Nemotron's 1M context is native; Qwen3.5's 1M requires YaRN scaling from a 262K base — practically different in reliability and performance degradation at extreme lengths
• –Community is asking whether vision adapters can be bolted onto Nemotron Super — an open research question NVIDIA hasn't addressed
• –The "best of both" model doesn't exist yet, which is what's driving the debate