[r/LocalLLaMA] Qwen3.5 122b vs. Nemotron 3 Super 120b: Best-in-class vision Vs. crazy fast + 1M context (but no vision). Which one are you going to choose and why?

Summary

The AI community is actively discussing two powerful new large language models: Qwen 3.5 122b and Nvidia's Nemotron 3 Super 120b. Qwen 3.5 is praised for its best-in-class vision capabilities, while Nemotron 3 Super offers blazing fast performance on Blackwell hardware and an impressive 1M context window, despite lacking vision. Users are now weighing these trade-offs, seeking to choose between vision and speed/context, or exploring ways to combine their strengths.

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